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Publications of Mike West    :chronological  alphabetical  combined  bibtex listing:

Books

  1. Prado, R; Ferreira, MAR; West, M, Time Series: Modeling, Computation and Inference (July, 2021), Chapman and Hall/CRC Press  [abs]
  2. West, M; Harrison, J, Bayesian Forecasting and Dynamic Models (June, 2013), pp. 704 pages, Springer Science & Business Media, ISBN 9781475793659 (2nd Edn. - 1989 1st Edn..) [mw/book.html]  [abs]
  3. Prado, R; West, M, Time series: Modeling, computation, and inference (January, 2010), pp. 1-354, Chapman and Hall/CRC, ISBN 9781420093360 [mw/tsbook/], [doi]  [abs]
  4. The Handbook of Applied Bayesian Analysis, edited by A. O'Hagan and M. West (2010), Oxford University Press, ISBN 978-0-19-954890-3 [html]
  5. The Oxford Handbook of Applied Bayesian Analysis, edited by O' Hagan, A; West, M (2010), ISBN 9780199548903  [abs]
  6. Bayesian Statistics 8, edited by J.M. Bernardo, M.J., Bayarri, J.O. Berger, A.P. David, D. Heckerman, A.F.M. Smith and M. West (2007), Oxford University Press [available here]
  7. Bayesian Statistics 7, edited by J.M. Bernardo, M.J., Bayarri, J.O. Berger, A.P. David, D. Heckerman, A.F.M. Smith and M. West (2003), Oxford University Press [available here]
  8. West, M; Harrison, J, Bayesian Forecasting and Dynamic Models (March, 1999), pp. 682 pages, Springer, ISBN 9780387947259  [abs]
  9. Pole, A; West, M; Harrison, PJ, Applied Bayesian Forecasting & Time Series Analysis (1994), Chapman-Hall [mw/bats.html]

Papers Published

  1. Tallman, E; West, M, Bayesian predictive decision synthesis, Journal of the Royal Statistical Society Series B: Statistical Methodology (October, 2023), Oxford University Press (OUP) [doi]  [abs]
  2. Yanchenko, AK; Tierney, G; Lawson, J; Hellmayr, C; Cron, A; West, M, Reply to Discussions of Multivariate dynamic modeling for Bayesian forecasting of business revenue, Applied Stochastic Models in Business and Industry, vol. 39 no. 3 (May, 2023), pp. 327-332 [doi]
  3. Yanchenko, AK; Deng, DD; Li, J; Cron, AJ; West, M, Hierarchical dynamic modelling for individualized Bayesian forecasting, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 72 no. 1 (January, 2023), pp. 144-164, Oxford University Press (OUP) [doi]  [abs]
  4. Lavine, I; Cron, A; West, M, Bayesian Computation in Dynamic Latent Factor Models, Journal of Computational and Graphical Statistics, vol. 31 no. 3 (January, 2022), pp. 651-665 [doi]  [abs]
  5. Yanchenko, AK; Tierney, G; Lawson, J; Hellmayr, C; Cron, A; West, M, Multivariate dynamic modeling for Bayesian forecasting of business revenue, Applied Stochastic Models in Business and Industry (January, 2022) [doi]  [abs]
  6. Yanchenko, AK; Tierney, G; Lawson, J; Hellmayr, C; Cron, A; West, M, Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue, Applied Stochastic Models in Business and Industry, forthcoming, 2022 (December, 2021)  [abs]
  7. Lavine, I; Lindon, M; West, M, Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models, Bayesian Analysis, vol. 16 no. 4 (December, 2021), Institute of Mathematical Statistics [doi]
  8. Yanchenko, AK; Deng, DD; Li, J; Cron, AJ; West, M, Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting (January, 2021)  [abs]
  9. Berry, LR; West, M, Bayesian Forecasting of Many Count-Valued Time Series, Journal of Business and Economic Statistics, vol. 38 no. 4 (October, 2020), pp. 872-887 [doi]  [abs]
  10. West, M, Perspectives on Constrained Forecasting (July, 2020)  [abs]
  11. Lavine, I; Cron, A; West, M, Bayesian Computation in Dynamic Latent Factor Models, Journal of Computational and Graphical Statistics, 2021 (July, 2020)  [abs]
  12. McAlinn, K; Aastveit, KA; Nakajima, J; West, M, Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting, Journal of the American Statistical Association, vol. 115 no. 531 (July, 2020), pp. 1092-1110, Informa UK Limited [doi]  [abs]
  13. Berry, LR; Helman, P; West, M, Probabilistic forecasting of heterogeneous consumer transaction–sales time series, International Journal of Forecasting, vol. 36 no. 2 (April, 2020), pp. 552-569 [doi]  [abs]
  14. West, M, Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions, Annals of the Institute of Statistical Mathematics, vol. 72 no. 1 (February, 2020), pp. 1-31, Springer Science and Business Media LLC [doi]  [abs]
  15. West, M, Reply to Discussion of “Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions”, Annals of the Institute of Statistical Mathematics, vol. 72 no. 1 (February, 2020), pp. 41-44 [doi]
  16. Chen, X; Banks, D; West, M, Bayesian dynamic modeling and monitoring of network flows, Network Science, vol. 7 no. 3 (September, 2019), pp. 292-318 [doi]  [abs]
  17. Lavine, I; Lindon, M; West, M, Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models, Bayesian Analysis, 16:1059-1083, 2021 (June, 2019)  [abs]
  18. Crawford, L; Flaxman, SR; Runcie, DE; West, M, VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY1., The annals of applied statistics, vol. 13 no. 2 (June, 2019), pp. 958-989 [doi]  [abs]
  19. McAlinn, K; West, M, Dynamic Bayesian predictive synthesis in time series forecasting, Journal of Econometrics, vol. 210 no. 1 (May, 2019), pp. 155-169, Elsevier BV [doi]  [abs]
  20. Irie, K; West, M, Bayesian emulation for multi-step optimization in decision problems, Bayesian Analysis, vol. 14 no. 1 (January, 2019), pp. 137-160, Institute of Mathematical Statistics [doi]  [abs]
  21. Yao, Y; Vehtari, A; Simpson, D; Gelman, A, Using Stacking to Average Bayesian Predictive Distributions (with Discussion), Bayesian Analysis, vol. 13 no. 3 (September, 2018), pp. 917-1007, Institute of Mathematical Statistics [doi]
  22. Chen, X; Irie, K; Banks, D; Haslinger, R; Thomas, J; West, M, Scalable Bayesian Modeling, Monitoring, and Analysis of Dynamic Network Flow Data, Journal of the American Statistical Association, vol. 113 no. 522 (April, 2018), pp. 519-533, Informa UK Limited [doi]  [abs]
  23. Nakajima, J; West, M, Dynamics & sparsity in latent threshold factor models: A study in multivariate EEG signal processing, Brazilian Journal of Probability and Statistics, vol. 31 no. 4 (January, 2017), pp. 701-731, Institute of Mathematical Statistics [2014-01], [doi]  [abs]
  24. West, M; Gruber, LF, Bayesian forecasting and scalable multivariate volatility analysis using simultaneous graphical dynamic linear models, Econometrics and Statistics, vol. 3 (2017), pp. 3-22, Elsevier BV [doi]  [abs]
  25. Bonassi, FV; Chan, C; West, M, Bayesian analysis of immune response dynamics with sparse time series data (June, 2016)  [abs]
  26. Zhao, ZY; Xie, M; West, M, Dynamic dependence networks: Financial time series forecasting and portfolio decisions, edited by Yang, H, Applied Stochastic Models in Business and Industry, vol. 32 no. 3 (May, 2016), pp. 311-332, WILEY, ISSN 1524-1904 [doi]  [abs]
  27. Zhao, Z; Xie, M; West, M, Rejoinder to ‘Dynamic dependence networks: Financial time series forecasting and portfolio decisions’, edited by Yang, H, Applied Stochastic Models in Business and Industry, vol. 32 no. 3 (May, 2016), pp. 336-339, WILEY [doi]  [abs]
  28. Lin, L; Chan, C; West, M, Discriminative variable subsets in Bayesian classification with mixture models, with application in flow cytometry studies., Biostatistics, vol. 17 no. 1 (January, 2016), pp. 40-53 [doi]  [abs]
  29. Cron, A; West, M, Models of random sparse eigenmatrices and Bayesian analysis of multivariate structure, Abel Symposia, vol. 11 (January, 2016), pp. 125-153, Springer International Publishing, ISBN 9783319270975 [doi]  [abs]
  30. Gruber, LF; West, M, GPU-accelerated Bayesian learning in simultaneous graphical dynamic linear models (2016), pp. 125-149, Carnegie Mellon University [doi]  [abs]
  31. Nakajima, J; West, M, Dynamic network signal processing using latent threshold models, Digital Signal Processing: A Review Journal, vol. 47 (December, 2015), pp. 5-16, Elsevier BV, ISSN 1051-2004 [doi]  [abs]
  32. Bonassi, FV; West, M, Sequential monte carlo with adaptive weights for approximate bayesian computation (January, 2015), pp. 171-187, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  33. Bonassi, FV; Chan, C; West, M, Bayesian computation for immune response modeling with sparse time series data (May, 2014) [2014-02]
  34. Zhou, X; Nakajima, J; West, M, Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models, International Journal of Forecasting, vol. 30 no. 4 (January, 2014), pp. 963-980, Elsevier BV, ISSN 0169-2070 [doi]  [abs]
  35. Mukherjee, C; Kasibhatla, PS; West, M, Spatially-varying SAR models and Bayesian inference for high-resolution lattice data, Annals of the Institute of Statistical Mathematics, vol. 66 no. 3 (2014), pp. 000-000, Springer Nature [html], [doi]  [abs]
  36. Nakajima, J; West, M, Sparse and dynamic transfer response factor models via Bayesian latent thresholding (June, 2013) [2013-04]
  37. Lin, L; Chan, C; Hadrup, SR; Froesig, TM; Wang, Q; West, M, Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies., Stat Appl Genet Mol Biol, vol. 12 no. 3 (June, 2013), pp. 309-331, ISSN 2194-6302 [Gateway.cgi], [doi]  [abs]
  38. West, M, Bayesian dynamic modelling, in Bayesian Theory and Applications, edited by Damien, P; Dellaportes, P; Polson, NG; Stephens, DA (2013), pp. 145-166, Clarendon: Oxford University Press [html]
  39. Xie, M; West, M, Dynamic discounting for model mixing in Bayesian forecasting (2013)
  40. Lin, L; Chan, C; West, M, Discriminative variable subsets in Bayesian classification with mixture models (2013) [html]
  41. Fox, EB; West, M, Autoregressive models for variance matrices: Stationary inverse Wishart processes (2013) [html]
  42. Cron, A; Gouttefangeas, C; Frelinger, J; Lin, L; Singh, SK; Britten, CM; Welters, MJP; van der Burg, SH; West, M; Chan, C, Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples., PLoS Comput Biol, vol. 9 no. 7 (2013), pp. e1003130 [23874174], [doi]  [abs]
  43. Nakajima, J; West, M, Bayesian analysis of latent threshold dynamic models, Journal of Business & Economic Statistics, vol. 31 no. 2 (2013), pp. 151-164, Informa UK Limited (Submitted for publication.) [html], [doi]  [abs]
  44. Manolopoulou, I; Matheu, MP; Cahalan, MD; West, M; Kepler, TB, Rejoinder, Journal of the American Statistical Association, vol. 107 no. 499 (December, 2012), pp. 871-874, Informa UK Limited, ISSN 0162-1459 [doi]
  45. Manolopoulou, I; Matheu, MP; Cahalan, MD; West, M; Kepler, TB, Bayesian spatio-dynamic modeling in cell motility studies: Learning nonlinear taxic fields guiding the immune response, Journal of the American Statistical Association, vol. 107 no. 499 (December, 2012), pp. 855-865, Informa UK Limited, ISSN 0162-1459 [html], [doi]  [abs]
  46. Nakajima, J; West, M, Dynamic factor volatility modeling: A bayesian latent threshold approach, Journal of Financial Econometrics, vol. 11 no. 1 (December, 2012), pp. 116-153, Oxford University Press (OUP), ISSN 1479-8409 [doi]  [abs]
  47. Wang, Q; West, M, Model-controlled flooding with applications to image reconstruction and segmentation., Journal of electronic imaging, vol. 21 no. 2 (June, 2012), pp. 023020, ISSN 1017-9909 [23049229], [doi]  [abs]
  48. Bernardo, JM; Bayarri, MJ; Berger, JO; Dawid, AP; Heckerman, D; Smith, AFM; West, M, Bayesian Statistics 9, edited by J.M. Bernardo, M.J., Bayarri, J.O. Berger, A.P. David, D. Heckerman, A.F.M. Smith and M. West, Bayesian Statistics 9, vol. 9780199694587 (January, 2012), pp. 1-720, Oxford University Press, ISBN 9780199694587 (in press.) [doi]  [abs]
  49. Bernardo, JM; Bayarri, MJ; Berger, JO; Dawid, AP; Heckerman, D; Smith, AFM; West, M, Preface, vol. 9780199694587 (January, 2012), ISBN 9780199694587 [doi]
  50. Cron, AJ; West, M, Models of random sparse eigenmatrices matrices with application to Bayesian factor analysis (2012) [html]
  51. Hallen, M; Li, B; Tanouchi, Y; Tan, C; West, M; You, L, Computation of steady-state probability distributions in stochastic models of cellular networks., PLoS computational biology, vol. 7 no. 10 (October, 2011), pp. e1002209 [22022252], [doi]  [abs]
  52. Bonassi, FV; You, L; West, M, Bayesian learning from marginal data in bionetwork models., Statistical applications in genetics and molecular biology, vol. 10 no. 1 (October, 2011), pp. /j/sagmb.2011.10.issue-1/1544-6115.1684/ [23089812], [doi]  [abs]
  53. Mukherjee, C; Kasibhatla, PS; West, M, Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis, Atmospheric Chemistry and Physics, vol. 11 no. 11 (July, 2011), pp. 5365-5382, Copernicus GmbH, ISSN 1680-7316 (Submitted for publication.) [doi]  [abs]
  54. Yao, G; Tan, C; West, M; Nevins, JR; You, L, Origin of bistability underlying mammalian cell cycle entry., Molecular systems biology, vol. 7 (April, 2011), pp. 485, ISSN 1744-4292 [doi]  [abs]
  55. Cron, AJ; West, M, Efficient Classification-Based Relabeling in Mixture Models., The American statistician, vol. 65 no. 1 (February, 2011), pp. 16-20, ISSN 0003-1305 [21660126], [doi]  [abs]
  56. Q. Wang and M. West, Model-controlled flooding with applications to image preprocessing and segmentation, Department of Statistical Science, Discussion Paper 11-05 (2011) [html]
  57. Manolopoulou, I; Chan, C; West, M, Rejoinder, Bayesian Analysis, vol. 5 no. 3 (December, 2010), pp. 461-464, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  58. Chan, C; Lin, L; Frelinger, J; Hérbert, V; Gagnon, D; Landry, C; Sékaly, R-P; Enzor, J; Staats, J; Weinhold, KJ; Jaimes, M; West, M, Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation., Cytometry A, vol. 77 no. 12 (December, 2010), pp. 1126-1136 [21053294], [doi]  [abs]
  59. Chen, JL-Y; Merl, D; Peterson, CW; Wu, J; Liu, PY; Yin, H; Muoio, DM; Ayer, DE; West, M; Chi, J-T, Lactic acidosis triggers starvation response with paradoxical induction of TXNIP through MondoA., PLoS Genet, vol. 6 no. 9 (September, 2010), pp. e1001093 [20844768], [doi]  [abs]
  60. Suchard, MA; Wang, Q; Chan, C; Frelinger, J; Cron, A; West, M, Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures., J Comput Graph Stat, vol. 19 no. 2 (June, 2010), pp. 419-438, ISSN 1061-8600 [repository], [doi]  [abs]
  61. Niemi, J; West, M, Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models., Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 19 no. 2 (June, 2010), pp. 260-280, ISSN 1061-8600 (doi:10.1198/jcgs.2010.08117.) [20563281], [doi]  [abs]
  62. Yoshida, R; West, M, Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing., Journal of machine learning research : JMLR, vol. 11 (May, 2010), pp. 1771-1798, ISSN 1532-4435 [repository]  [abs]
  63. Merl, D; Lucas, JE; Nevins, JR; Shen, H; West, M, Trans-study projection of genomic biomarkers using sparse factor regression models, in The Handbook of Applied Bayesian Analysis, edited by Hagan, AO; West, M (April, 2010), pp. 118-154, Oxford University Press, ISBN 978-0-19-954890-3 [html]
  64. Hyland, R; Obach, RS; Stoner, C; West, M; Wester, MR; Youdim, K; Zientek, M, Drug-drug interactions: Screening for liability and assessment of risk, in Hit and Lead Profiling: Identification and Optimization of Drug-like Molecules, vol. 43 (March, 2010), pp. 165-196, Wiley-VCH Verlag GmbH & Co. KGaA, ISBN 9783527323319 [doi]
  65. Wang, Q; Niemi, J; Tan, C-M; You, L; West, M, Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy., Cytometry. Part A : the journal of the International Society for Analytical Cytology, vol. 77 no. 1 (January, 2010), pp. 101-110 [19845017], [doi]  [abs]
  66. Manolopoulou, I; Chan, C; West, M, Selection Sampling from Large Data Sets for Targeted Inference in Mixture Modeling., Bayesian analysis, vol. 5 no. 3 (January, 2010), pp. 1-22, ISSN 1936-0975 [20865145]  [abs]
  67. G. Yao, C. Tan, M. West, J.R. Nevins and L. You, A minimal gene circuit underlying the bistable cell cycle entry, Submitted (2010) [html]
  68. West, M, Bayesian forecasting, in Methods and Applications of Statistics in Business, Finance and Management Science, edited by Balakrishnan, N (2010), pp. p72-84, Wiley, Hoboken NJ, ISBN 978-0-470-40510-9 [ps]
  69. Shen, H; West, M, Bayesian modelling for biological pathway annotation of gene expression pathway signatures, in Frontiers of Statistical Decision Making and Bayesian Analysis, edited by Chen, M-H; Dey, DK; Mueller, P; Sun, D; Ye, K (2010), pp. 285-302, New York: Springer-Verlag [html]
  70. Manolopoulou, I; Wang, X; Ji, C; Lynch, HE; Stewart, S; Sempowski, GD; Alam, SM; West, M; Kepler, TB, Statistical analysis of immunofluorescent histology (2010) [html]
  71. Lucas, JE; Carvalho, CM; Merl, D; West, M, In-vitro to In-vivo factor profiling in expression genomics, in Bayesian Modelling in Bioinformatics, edited by Dey, D; Ghosh, S; Mallick, B (2010), pp. p293-316, Taylor-Francis [html]
  72. Ji, C; Shen, H; West, M, Bounded approximations for marginal likelihoods (2010) [html]
  73. Suchard, MA; Holmes, C; West, M, Some of the What?, Why?, How?, Who? and Where? of graphics processing unit computing for Bayesian analysis, Bulletin of the International Society for Bayesian Analysis, vol. 17 (2010), pp. 12-16 [mw/GPU-ISBABull2010.pdf]
  74. Lin, L; Chan, C; West, M, Discriminative information analysis in mixture modelling, Working Paper, Department of Statistical Science, Duke University no. 10-23 (2010) (Submitted for publication.) [html]
  75. Manolopoulou, I; Chan, C; West, M, Selection sampling from large data sets for targeted inference in mixture modeling, Bayesian Analysis, vol. 5 no. 3 (2010), pp. 429-450, ISSN 1936-0975 [html], [doi]  [abs]
  76. Yoshida, R; West, M, Bayesian learning in sparse graphical factor models via annealed entropy, Journal of Machine Learning Research, vol. 11 (2010), pp. 1771-1798, ISSN 1532-4435 [html]  [abs]
  77. Liu, F; West, M, A dynamic modelling strategy for bayesian computer model emulation, Bayesian Analysis, vol. 4 no. 2 (December, 2009), pp. 393-412, Institute of Mathematical Statistics, ISSN 1936-0975 [html], [doi]  [abs]
  78. Ji, C; Merl, D; Kepler, TB; West, M, Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology., Bayesian analysis, vol. 4 no. 2 (December, 2009), pp. 297-316, ISSN 1936-0975 [21037943], [doi]  [abs]
  79. Chang, JT; Carvalho, C; Mori, S; Bild, AH; Gatza, ML; Wang, Q; Lucas, JE; Potti, A; Febbo, PG; West, M; Nevins, JR, A genomic strategy to elucidate modules of oncogenic pathway signaling networks., Molecular cell, vol. 34 no. 1 (April, 2009), pp. 104-114 ( This paper was selected for invited commentary in Molecular Cell, and research highlight in Nature Genetics, April 2009. This paper was also selected and discussed as one of the “2009: Signaling Breakthroughs of the Year” papers in Science Signaling, January 2010..) [19362539], [doi]  [abs]
  80. Lucas, JE; Carvalho, CM; Chen, JLY; Chi, JT; West, M, Cross-study projections of genomic biomarkers: An evaluation in cancer genomics, PLoS ONE, vol. 4 no. 2 (February, 2009) [doi]  [abs]
  81. Lucas, J; Carvalho, C; West, M, A bayesian analysis strategy for cross-study translation of gene expression biomarkers., Statistical applications in genetics and molecular biology, vol. 8 no. 1 (January, 2009), pp. Article-11 [19222378], [doi]  [abs]
  82. F. Liang, K. Mao, M. Liao, S. Mukherjee and M. West, Non-parametric Bayesian kernel models, Department of Statistical Science, Discussion Paper 07-10 (2009) (Submitted for publication.) [html]
  83. Reeson, C; Carvalho, CM; West, M, Dynamic graphical models and portfolio allocations for structured mutual funds (2009)
  84. Merl, D; West, M, Hierarchical nonparametric mixture models (2009) [html]
  85. Wang, H; West, M, Bayesian analysis of matrix normal graphical models, Biometrika, vol. 96 no. 4 (2009), pp. 821-834, ISSN 0006-3444 [22822246], [doi]  [abs]
  86. Mukherjee, C; West, M, Sequential Monte Carlo in model comparison: Example in cellular dynamics in systems biology, JSM Proceedings,Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association (2009), pp. 1274-1287 [html]
  87. Merl, D; Chen, JL-Y; Chi, J-T; West, M, AN INTEGRATIVE ANALYSIS OF CANCER GENE EXPRESSION STUDIES USING BAYESIAN LATENT FACTOR MODELING., Ann Appl Stat, vol. 3 no. 4 (2009), pp. 1675-1694, ISSN 1932-6157 (First published online, September 2009.) [20953268], [doi]  [abs]
  88. Lucas, JE; Carvalho, CM; Chen, JL-Y; Chi, J-T; West, M, Cross-study projections of genomic biomarkers: an evaluation in cancer genomics., PLoS One, vol. 4 no. 2 (2009), pp. e4523 [19225561], [doi]  [abs]
  89. Julia, ; Chen, L-Y; Lucas, JE; Schroeder, T; Mori, S; Wu, J; Nevins, J; Dewhirst, M; West, M; Chi, J-T, The genomic analysis of lactic acidosis and acidosis response in human cancers, CANCER RESEARCH, vol. 69 (2009)
  90. Chen, JL-Y; Lucas, JE; Schroeder, T; Mori, S; Wu, J; Nevins, J; Dewhirst, M; West, M; Chi, J-T, The genomic analysis of lactic acidosis and acidosis response in human cancers., PLoS Genet, vol. 4 no. 12 (December, 2008), pp. e1000293 [19057672], [doi]  [abs]
  91. Chan, C; Feng, F; Ottinger, J; Foster, D; West, M; Kepler, TB, Statistical mixture modeling for cell subtype identification in flow cytometry., Cytometry A, vol. 73 no. 8 (August, 2008), pp. 693-701 [18496851], [doi]  [abs]
  92. Goldschmidt-Clermont, PJ; Dong, C; West, M; Seo, DM, Of cardiovascular illness and diversity of biological response., Trends in cardiovascular medicine, vol. 18 no. 5 (July, 2008), pp. 194-197 [18790390], [doi]  [abs]
  93. Clarke, J; West, M, Bayesian Weibull tree models for survival analysis of clinico-genomic data, Statistical Methodology, vol. 5 no. 3 (May, 2008), pp. 238-262, Elsevier BV, ISSN 1572-3127 [doi]  [abs]
  94. Xu, M; Kao, M-CJ; Nunez-Iglesias, J; Nevins, JR; West, M; Zhou, XJ, An integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer., BMC genomics, vol. 9 Suppl 1 no. SUPPL. 1 (January, 2008), pp. S12, ISSN 1471-2164 [doi]  [abs]
  95. Wang, Q; You, L; West, M, CellTracer: Software for automated image segmentation and lineage mapping for single-cell studies (2008) [html]
  96. Xu, M; Kao, MCJ; Nunez-Iglesias, J; Nevins, JR; West, M; Zhou, XJ, Characterizing disease-specific pathways and their coordination by integrative microarray analysis with application to cancer, BMC Genomics, vol. 9 no. Suppl 1:S12. (2008), pp. Supp 1:S12-Supp 1:S12 [pdf]
  97. Chen, JL; Lucas, JE; Schroeder, T; Mori, S; Wu, J; Nevins, JR; Dewhirst, M; West, M; Chi, JTA, Genomic analysis of response to lactic acidosis and acidosis in human cancers, PLoS Genetics, vol. 4 no. 12 (2008), pp. e1000293 [html], [doi]  [abs]
  98. Carvalho, CM; Lucas, JE; Wang, Q; Chang, J; Nevins, JR; West, M, High-dimensional sparse factor modelling - Applications in gene expression genomics, Journal of the American Statistical Association, vol. 103 no. 484 (2008), pp. 1438-1456, ISSN 0162-1459 [html], [doi]  [abs]
  99. Carvalho, CM; West, M, Dynamic matrix-variate graphical models, Bayesian Analysis, vol. 2 no. 1 (December, 2007), pp. 69-98, Institute of Mathematical Statistics, ISSN 1936-0975 [pdf], [doi]  [abs]
  100. Liang, F; Mukherjee, S; West, M, Understanding the use of unlabelled data in predictive modelling, Statistical Science, vol. 22 no. 2 (October, 2007), pp. 189-205, ISSN 0883-4237 [45], [doi]  [abs]
  101. Carvalho, CM; Massam, H; West, M, Simulation of hyper-inverse Wishart distributions in graphical models, Biometrika, vol. 94 no. 3 (September, 2007), pp. 647-659, Oxford University Press (OUP), ISSN 0006-3444 [html], [doi]  [abs]
  102. Seo, DM; Goldschmidt-Clermont, PJ; West, M, Of mice and men: Sparse statistical modeling in cardiovascular genomics, The Annals of Applied Statistics, vol. 1 no. 1 (June, 2007), pp. 152-178, Institute of Mathematical Statistics, ISSN 1932-6157 [Gateway.cgi], [doi]
  103. Hans, C; Dobra, A; West, M, Shotgun stochastic search for "large p" regression, Journal of the American Statistical Association, vol. 102 no. 478 (June, 2007), pp. 507-516, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  104. Liang, F; Mukherjee, S; West, M, The use of unlabeled data in predictive modeling, Statistical Science, vol. 22 no. 2 (May, 2007), pp. 189-205, Institute of Mathematical Statistics, ISSN 0883-4237 [doi]  [abs]
  105. Wu, Y; Tjelmeland, H; West, M, Bayesian CART: Prior specification and posterior simulation, Journal of Computational and Graphical Statistics, vol. 16 no. 1 (March, 2007), pp. 44-66, Informa UK Limited, ISSN 1061-8600 [doi]  [abs]
  106. C.M. Carvalho and M. West., Dynamic matrix-variate graphical models - A synopsis, edited by (eds: J.M. Bernardo, M.J. Bayarri, J.O. Berger, A.P. Dawid, D. Heckerman, A.F.M. Smith and M. West,, Bayesian Statistics, vol. 8 (2007), pp. 585-590, Oxford University Press [pdf]
  107. H.K. Dressman, A. Berchuck, G. Chan, J. Zhai, A. Bild, R. Sayer, J. Cragun, J.P. Clarke, R. Whitaker, L.H. Li, J. Gray, J. Marks, G.S. Ginsburg, A. Potti, M. West, J.R. Nevins and J.M. Lancaster, An integrated genomic-based approach to personalized treatment of patients with advanced-stage ovarian cancer, Journal of Clinical Oncology, vol. 25 (2007), pp. 517-525
  108. Liang, F; Mao, K; Liao, M; Mukherjee, S; West, M, Non-parametric Bayesian kernel models, Department of Statistical Science, Duke University (2007) [html]
  109. Wang, Q; Carvalho, CM; Lucas, JE; West, M, BFRM: Bayesian factor regression modelling, Bulletin of the International Society for Bayesian Analysis, vol. 14 (2007), pp. 4-5 [mw/.downloads/bfrm-isbabull07.pdf]
  110. Hans, C; Wang, Q; Dobra, A; West, M, SSS: High-dimensional Bayesian regression model search, Bulletin of the International Society for Bayesian Analysis, vol. 24 (2007), pp. 8-9 [mw/.downloads/ssscode-isbabull07.pdf]
  111. Hans, C; Dobra, A; West, M, Shotgun stochastic search in regression with many predictors, Journal of the American Statistical Association, vol. 102 no. 478 (2007), pp. 507-516, ISSN 0162-1459 [html], [doi]  [abs]
  112. Wu, Y; Tjelmeland, H; West, M, Bayesian CART: Prior structure and MCMC computations, Journal of Computational and Graphical Statistics, vol. 16 no. 1 (2007), pp. 44-66, ISSN 1061-8600 [html], [doi]  [abs]
  113. Carvalho, CM; West, M, Dynamic matrix-variate graphical models, Bayesian Analysis, vol. 2 (2007), pp. 69-98 [pdf]
  114. Ferreira, MAR; West, M; Lee, HKH; Higdon, DM, Multi-scale and hidden resolution time series models, Bayesian Analysis, vol. 1 no. 4 (December, 2006), pp. 947-968, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  115. Cheng, SH; Horng, C-F; West, M; Huang, E; Pittman, J; Tsou, M-H; Dressman, H; Chen, C-M; Tsai, SY; Jian, JJ; Liu, M-C; Nevins, JR; Huang, AT, Genomic prediction of locoregional recurrence after mastectomy in breast cancer., J Clin Oncol, vol. 24 no. 28 (October, 2006), pp. 4594-4602 [17008701], [doi]  [abs]
  116. West, M; Ginsburg, GS; Huang, AT; Nevins, JR, Embracing the complexity of genomic data for personalized medicine., Genome Res, vol. 16 no. 5 (May, 2006), pp. 559-566, ISSN 1088-9051 [16651662], [doi]  [abs]
  117. Cheng, SH; Horng, C-F; Clarke, JL; Tsou, M-H; Tsai, SY; Chen, C-M; Jian, JJ; Liu, M-C; West, M; Huang, AT; Prosnitz, LR, Prognostic index score and clinical prediction model of local regional recurrence after mastectomy in breast cancer patients., Int J Radiat Oncol Biol Phys, vol. 64 no. 5 (April, 2006), pp. 1401-1409, ISSN 0360-3016 [16472935], [doi]  [abs]
  118. Dressman, HK; Hans, C; Bild, A; Olson, JA; Rosen, E; Marcom, PK; Liotcheva, VB; Jones, EL; Vujaskovic, Z; Marks, J; Dewhirst, MW; West, M; Nevins, JR; Blackwell, K, Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy., Clin Cancer Res, vol. 12 no. 3 Pt 1 (February, 2006), pp. 819-826, ISSN 1078-0432 [16467094], [doi]  [abs]
  119. Dobra, A; Tebaldi, C; West, M, Data augmentation in multi-way contingency tables with fixed marginal totals, Journal of Statistical Planning and Inference, vol. 136 no. 2 (February, 2006), pp. 355-372, Elsevier BV [science], [doi]  [abs]
  120. Bild, AH; Yao, G; Chang, JT; Wang, Q; Potti, A; Chasse, D; Joshi, M-B; Harpole, D; Lancaster, JM; Berchuck, A; Olson, JA; Marks, JR; Dressman, HK; West, M; Nevins, JR, Oncogenic pathway signatures in human cancers as a guide to targeted therapies., Nature, vol. 439 no. 7074 (January, 2006), pp. 353-357 [16273092], [doi]  [abs]
  121. Lucas, J; Carvalho, C; Wang, Q; Bild, A; Nevins, JR; West, M, Sparse Statistical Modelling in Gene Expression Genomics, in BAYESIAN INFERENCE FOR GENE EXPRESSION AND PROTEOMICS, edited by Do, KA; Mueller, P; Vannucci, M (2006), pp. 155-176, Cambridge University Press [html]
  122. Karra, R; Vemullapalli, S; Dong, C; Herderick, EE; Song, X; Slosek, K; Nevins, JR; West, M; Goldschmidt-Clermont, PJ; Seo, D, Stem Cells of Aging Donors- Insufficient Capacity to Repair Causes & Progression of Atherosclerosis in the Recipient, Journal of the American Society of Nephrology, vol. 17 (2006), pp. 317-322
  123. Hans, C; West, M, High-dimensional regression in cancer genomics, Bulletin of the International Society for Bayesian Analysis, vol. 13 (2006), pp. 2-3 [mw/.downloads/sss-isbabull06.pdf]
  124. Ferreira, MAR; West, M; Lee, HKH; Higdon, DM, Multiscale and hidden resolution time series models, Bayesian Analysis, vol. 2 no. 4 (2006), pp. 294-314, ISSN 1936-0975 [pdf], [doi]  [abs]
  125. Jones, B; West, M, Covariance decomposition in undirected Gaussian graphical models, Biometrika, vol. 92 no. 4 (December, 2005), pp. 779-786, ISSN 0006-3444 [779], [doi]  [abs]
  126. Karra, R; Vemullapalli, S; Dong, C; Herderick, EE; Song, X; Slosek, K; Nevins, JR; West, M; Goldschmidt-Clermont, PJ; Seo, D, Molecular evidence for arterial repair in atherosclerosis., Proc Natl Acad Sci U S A, vol. 102 no. 46 (November, 2005), pp. 16789-16794, ISSN 0027-8424 [16275914], [doi]  [abs]
  127. Black, EP; Hallstrom, T; Dressman, HK; West, M; Nevins, JR, Distinctions in the specificity of E2F function revealed by gene expression signatures., Proc Natl Acad Sci U S A, vol. 102 no. 44 (November, 2005), pp. 15948-15953, ISSN 0027-8424 [16249342], [doi]  [abs]
  128. Jones, B; Carvalho, C; Dobra, A; Hans, C; Carter, C; West, M, Experiments in stochastic computation for high-dimensional graphical models, Statistical Science, vol. 20 no. 4 (November, 2005), pp. 388-400, Institute of Mathematical Statistics [html], [doi]  [abs]
  129. Bild, AH; Yao, G; Chang, JT; Wang, QL; Potti, A; Harpole, D; Lancaster, J; Berchuck, A; Olson, JA; Marks, J; Dressman, HK; West, M; Nevins, JR, Oncogenic pathway signatures in human cancers as a guide to targeted therapies., CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, vol. 14 no. 11 (November, 2005), pp. 2743S-2743S, AMER ASSOC CANCER RESEARCH, ISSN 1055-9965 [Gateway.cgi]
  130. Rich, J; Hans, C; Jones, B; McLendon, R; Rasheed, B; Dobra, A; Dressman, H; Bigner, D; Nevins, J; West, M, Gene expression profiling links invasion-related genes to poor survival in older glioblastoma patients, NEURO-ONCOLOGY, vol. 7 no. 3 (July, 2005), pp. 293-293, DUKE UNIV PRESS, ISSN 1522-8517 [Gateway.cgi]
  131. Delong, M; Yao, G; Wang, Q; Dobra, A; Black, EP; Chang, JT; Bild, A; West, M; Nevins, JR; Dressman, H, DIG--a system for gene annotation and functional discovery., Bioinformatics, vol. 21 no. 13 (July, 2005), pp. 2957-2959, ISSN 1367-4803 [15870167], [doi]  [abs]
  132. Petersen, RP; Bild, A; Dressman, H; Joshi, MBM; Conlon, DH; West, M; Nevins, JR; Harpole, DH, Gene expression signatures for prognosis in NSCLC, coupled with signatures of oncogenic pathway deregulation, provide a novel approach for selection of molecular targets., JOURNAL OF CLINICAL ONCOLOGY, vol. 23 no. 16 (June, 2005), pp. 626S-626S, AMER SOC CLINICAL ONCOLOGY, ISSN 0732-183X [Gateway.cgi]  [abs]
  133. Petersen, RP; Bild, A; Dressman, H; Joshi, MM; Conlon, DH; West, M; Nevins, JR; Harpole, DH, Gene expression signatures for prognosis in NSCLC, coupled with signatures of oncogenic pathway deregulation, provide a novel approach for selection of molecular targets., J Clin Oncol, vol. 23 no. 16_suppl (June, 2005), pp. 7020  [abs]
  134. Berchuck, A; Iversen, ES; Lancaster, JM; Pittman, J; Luo, J; Lee, P; Murphy, S; Dressman, HK; Febbo, PG; West, M; Nevins, JR; Marks, JR, Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers., Clin Cancer Res, vol. 11 no. 10 (May, 2005), pp. 3686-3696, ISSN 1078-0432 [15897565], [doi]  [abs]
  135. Rich, JN; Hans, C; Jones, B; Iversen, ES; McLendon, RE; Rasheed, BKA; Dobra, A; Dressman, HK; Bigner, DD; Nevins, JR; West, M, Gene expression profiling and genetic markers in glioblastoma survival., Cancer Res, vol. 65 no. 10 (May, 2005), pp. 4051-4058, ISSN 0008-5472 [15899794], [doi]  [abs]
  136. Patil, PG; West, M; Wheal, HV; Turner, DA, Physiological and statistical approaches to modeling of synaptic responses, in Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics, 2nd Edn., edited by Reeke, GN; Poznanski, RR; Lindsay, KA; Rosenberg, JR; Sporns, O (January, 2005), pp. 61-88, Taylor & Francis, CRC Press, ISBN 9780415328685 [html]  [abs]
  137. Rich, JN; Hans, C; Jones, B; McLendon, RE; Rasheed, A; Dobra, A; Dressman, HK; Bigner, DD; Nevins, JR; West, M, Bayesian analysis of gene expression profiles links invasion related genes to poor survival in older glioblastoma patients, Proceedings of the American Association for Cancer Research, vol. 2005 (2005), pp. 212-212
  138. Ferreira, MAR; Higdon, DM; Lee, HKH; West, M, Multi-scale random field models (2005) (Submitted for publication.) [html]
  139. Seo, D; Wang, T; Dressman, H; Herderick, EE; Iversen, ES; Dong, C; Vata, K; Milano, CA; Rigat, F; Pittman, J; Nevins, JR; West, M; Goldschmidt-Clermont, PJ, Gene expression phenotypes of atherosclerosis., Arterioscler Thromb Vasc Biol, vol. 24 no. 10 (October, 2004), pp. 1922-1927 [15297278], [doi]  [abs]
  140. Pittman, J; Huang, E; Nevins, J; Wang, Q; West, M, Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes., Biostatistics, vol. 5 no. 4 (October, 2004), pp. 587-601, ISSN 1465-4644 [15475421], [doi]  [abs]
  141. Huang, ES; Nevins, JR; West, M; Kuo, PC, An overview of genomic data analysis., Surgery, vol. 136 no. 3 (September, 2004), pp. 497-499, ISSN 0039-6060 [15349091], [doi]
  142. Pittman, J; Huang, E; Dressman, H; Horng, C-F; Cheng, SH; Tsou, M-H; Chen, C-M; Bild, A; Iversen, ES; Huang, AT; Nevins, JR; West, M, Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes., Proc Natl Acad Sci U S A, vol. 101 no. 22 (June, 2004), pp. 8431-8436, ISSN 0027-8424 [15152076], [doi]  [abs]
  143. Berchuck, A; Iversen, ES; Lancaster, JM; Dressman, HK; West, M; Nevins, JR; Marks, JR, Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays., Am J Obstet Gynecol, vol. 190 no. 4 (April, 2004), pp. 910-925, ISSN 0002-9378 [15118612], [doi]  [abs]
  144. Godsill, SJ; Doucet, A; West, M, Monte carlo smoothing for nonlinear time series, Journal of the American Statistical Association, vol. 99 no. 465 (March, 2004), pp. 156-168, Informa UK Limited, ISSN 0162-1459 [html], [doi]  [abs]
  145. Berchuck, A; Iversen, E; Lancaster, JM; Henriott, A; Dressman, H; West, M; Nevins, JR; Marks, JR, Prediction of long-term versus short-term survival in advanced stage serous ovarian cancer using expression microarrays., JOURNAL OF THE SOCIETY FOR GYNECOLOGIC INVESTIGATION, vol. 11 no. 2 (February, 2004), pp. 182A-182A, ELSEVIER SCIENCE INC, ISSN 1071-5576 [Gateway.cgi]
  146. Pittman, JL; Tebbit, CL; Black, EP; Dressman, HK; Huang, ES; Olson, JA; Marks, JR; Marcom, PK; Huang, AT; West, M; Nevins, JR, Predictive models that combine multiple forms of genomic and clinical data to achieve personalized prediction of outcomes in breast cancer, BREAST CANCER RESEARCH AND TREATMENT, vol. 88 (January, 2004), pp. S21-S22, SPRINGER, ISSN 0167-6806 [Gateway.cgi]
  147. Dobra, A; Hans, C; Jones, B; Nevins, JR; Yao, G; West, M, Sparse graphical models for exploring gene expression data, Journal of Multivariate Analysis, vol. 90 no. 1 SPEC. ISS. (January, 2004), pp. 196-212, Elsevier BV [html], [doi]  [abs]
  148. Lopes, HF; West, M, Bayesian model assessment in factor analysis, Statistica Sinica, vol. 14 no. 1 (January, 2004), pp. 41-67, ISSN 1017-0405 [html]  [abs]
  149. Hoffman, EP; Awad, T; Spira, A; Palma, J; Webster, T; Wright, G; Buckley, J; Davis, R; Hubbell, E; Jones, W; R Tibshirani, RT; Triche, T; Xiao, W; West, M; Warrington, JA, Expression profiling: Best practices for Affymetrix array data generation and interpretation for clinical trials, Nature Reviews Genetics, vol. 5 (2004), pp. 229-237 [html]
  150. Seo, D; Karra, R; Wang, T; Dressman, H; West, M; Nevins, J; Goldschmidt, P, Genomic convergence in the study of human and mouse atherosclerosis, CIRCULATION, vol. 108 no. 17 (October, 2003), pp. 282-282, LIPPINCOTT WILLIAMS & WILKINS, ISSN 0009-7322 [Gateway.cgi]
  151. Nevins, JR; Huang, ES; Dressman, H; Pittman, J; Huang, AT; West, M, Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction., Hum Mol Genet, vol. 12 Spec No 2 (October, 2003), pp. R153-R157, ISSN 0964-6906 [12928487], [doi]  [abs]
  152. Huang, E; Ishida, S; Pittmann, J; Dressman, H; Bild, A; Kloos, M; D'Amico, M; Pestell, RG; West, M; Nevins, JR, Erratum: Gene expression phenotypic models that predict the activity of oncogenic pathways (Nature Genetics (2003) 34 (226-230)), Nature Genetics, vol. 34 no. 4 (August, 2003), pp. 465, Springer Nature [doi]
  153. Black, EP; Huang, E; Dressman, H; Rempel, R; Laakso, N; Asa, SL; Ishida, S; West, M; Nevins, JR, Distinct gene expression phenotypes of cells lacking Rb and Rb family members., Cancer Res, vol. 63 no. 13 (July, 2003), pp. 3716-3723, ISSN 0008-5472 [12839964]  [abs]
  154. Huang, E; Ishida, S; Pittman, J; Dressman, H; Bild, A; Kloos, M; D'Amico, M; Pestell, RG; West, M; Nevins, JR, Gene expression phenotypic models that predict the activity of oncogenic pathways., Nat Genet, vol. 34 no. 2 (June, 2003), pp. 226-230, ISSN 1061-4036 [12754511], [doi]  [abs]
  155. Huang, E; Cheng, SH; Dressman, H; Pittman, J; Tsou, MH; Horng, CF; Bild, A; Iversen, ES; Liao, M; Chen, CM; West, M; Nevins, JR; Huang, AT, Gene expression predictors of breast cancer outcomes., Lancet, vol. 361 no. 9369 (May, 2003), pp. 1590-1596, ISSN 0140-6736 [12747878], [doi]  [abs]
  156. Paddock, SM; Ruggeri, F; Lavine, M; West, M, Randomized Polya tree models for nonparametric Bayesian inference, Statistica Sinica, vol. 13 no. 2 (April, 2003), pp. 443-460  [abs]
  157. West, M, Bayesian factor regression models in the "Large p, Small n" paradigm, in Bayesian Statistics 7, edited by Bernardo, JM; Bayarri, MJ; Berger, JO; Dawid, AP; Heckerman, D; Smith, AFM, BAYESIAN STATISTICS 7 (January, 2003), pp. 733-742, CLARENDON PRESS, ISBN 0-19-852615-6 [Gateway.cgi]
  158. Ferreira, MAR; Bi, Z; West, M; Lee, HKH; Higdon, DM, Multiscale modelling of 1-D permeability fields, in Bayesian Statistics 7, edited by Bernardo, JM; Bayarri, MJ; Berger, JO; David, AP; Heckerman, D; Smith, AFM; West, M, Bayesian Statistics 7 (2003), Oxford University Press [html]
  159. Huang, E; West, M; Nevins, JR, Gene expression profiling for prediction of clinical characteristics of breast cancer., Recent Prog Horm Res, vol. 58 (2003), pp. 55-73, ISSN 0079-9963 [12795414], [doi]  [abs]
  160. Pittman, J; Huang, ES; Nevins, JR; West, M, Prediction tree models in clinico-genomics, Bulletin of the International Statistical Institute, vol. 54 (2003), pp. 76-76 [html]
  161. Paddock, S; Ruggeri, F; Lavine, M; West, M, Tree models for nonparametric Bayesian inference, Statistica Sinica, vol. 13 no. 2 (2003), pp. 443-460 [html]  [abs]
  162. Huang, ES; Black, EP; Dressman, H; West, M; Nevins, JR, Gene expression phenotypes of oncogenic signaling pathways., Cell Cycle, vol. 2 no. 5 (2003), pp. 415-417, ISSN 1538-4101 [12963829]
  163. Fong, W; Godsill, SJ; Doucet, A; West, M, Monte Carlo smoothing with application to audio signal enhancement, IEEE Transactions on Signal Processing, vol. 50 no. 2 (February, 2002), pp. 438-449, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [html], [doi]  [abs]
  164. Lee, HKH; Higdon, DM; Bi, Z; Ferreira, MAR; West, M, Markov random field models for high-dimensional parameters in simulations of fluid flow in porous media, Technometrics, vol. 44 no. 3 (January, 2002), pp. 230-241, Informa UK Limited [html], [doi]  [abs]
  165. Tebaldi, C; West, M; Karr, AF, Statistical analyses of freeway traffic flows, Journal of Forecasting, vol. 21 no. 1 (January, 2002), pp. 39-68, WILEY, ISSN 0277-6693 [html], [doi]  [abs]
  166. Spang, R; Zuzan, H; West, M; Nevins, J; Blanchette, C; Marks, JR, Prediction and uncertainty in the analysis of gene expression profiles., In Silico Biol, vol. 2 no. 3 (2002), pp. 369-381, ISSN 1386-6338 [12542420]  [abs]
  167. West, M; Blanchette, C; Dressman, H; Huang, E; Ishida, S; Spang, R; Zuzan, H; Olson, JA; Marks, JR; Nevins, JR, Predicting the clinical status of human breast cancer by using gene expression profiles., Proc Natl Acad Sci U S A, vol. 98 no. 20 (September, 2001), pp. 11462-11467, ISSN 0027-8424 [11562467], [doi]  [abs]
  168. Ishida, S; Huang, E; Zuzan, H; Spang, R; Leone, G; West, M; Nevins, JR, Role for E2F in control of both DNA replication and mitotic functions as revealed from DNA microarray analysis., Mol Cell Biol, vol. 21 no. 14 (July, 2001), pp. 4684-4699, ISSN 0270-7306 [11416145], [doi]  [abs]
  169. Prado, R; West, M; Krystal, AD, Multichannel electroencephalographic analyses via dynamic regression models with time-varying lag-lead structure, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 50 no. 1 (January, 2001), pp. 95-109 [doi]  [abs]
  170. M. West, C. Blanchette, H. Dressman, E. Huang, S. Ishida, R. Spang, H. Zuzan, J.R. Marks and J.R. Nevins, Predicting the clinical status of human breast cancer utilizing gene expression profiles, Proceedings of the National Academy of Sciences, vol. 98 (2001), pp. 11462-11467 [11462]
  171. Liu, J; West, M, Combined parameter and state estimation in simulation-based filtering, in Sequential Monte Carlo Methods in Practice, edited by Doucet, A; Freitas, JFGD; Gordon, NJ (2001), pp. 197-217, New York: Springer-Verlag (ISBN 0-38795146-6.) [html]
  172. West, M, Case Studies in Bayesian Statistics V, edited by Gatsonis, CA; Kass, RE; Carlin, B; Carriquiry, A; Gelman, A; Verdinelli, I; West, M (2001), Springer-Verlag, New York [Case_Studies_in_Bayesian_Statistics.html]
  173. Prado, R; Huerta, G; West, M, Bayesian time-varying autoregressions: Theory, methods and applications, Resenhas, vol. 4 (2001), pp. 405-422 [html]
  174. Prado, R; West, M; Krystal, AD, Multi-channel EEG analyses via dynamic regression models with time-varying lag/lead structure, Journal of the Royal Statistical Society (Ser. C), vol. 50 (2001), pp. 95-110 [html]
  175. Spang, R; Zuzan, H; West, M; Nevins, JR; Blanchette, C; Marks, JR, Prediction and uncertainty in the analysis of gene expression profiles, In Silico Biology, vol. 2 no. 3 (2001), pp. 0033-0033, ISSN 1386-6338 [available here]  [abs]
  176. Huerta, G; West, M, Priors and Component Structures in Autoregressive Time Series Models, Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 62 no. 2 (July, 2000), pp. 429-429, Oxford University Press (OUP), ISSN 1369-7412 [Gateway.cgi], [doi]
  177. Doucet, A; Godsill, SJ; West, M, Monte Carlo filtering and smoothing with application to time-varying spectral estimation, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2 (January, 2000), pp. 701-704, IEEE (ISBN 0-7803-6296-9.) [pdf], [doi]  [abs]
  178. Aguilar, O; West, M, Bayesian dynamic factor models and portfolio allocation, Journal of Business and Economic Statistics, vol. 18 no. 3 (January, 2000), pp. 338-357, Informa UK Limited [html], [doi]  [abs]
  179. Krystal, AD; West, M; Prado, R; Greenside, H; Zoldi, S; Weiner, RD, EEG effects of ECT: implications for rTMS., Depress Anxiety, vol. 12 no. 3 (2000), pp. 157-165, ISSN 1091-4269 [11126190], [doi]  [abs]
  180. Burgess, J; Lourdes, V; West, M, Profiling mental health provider trends in health care delivery systems, Health Services & Outcomes Research Methodology, vol. 100 (2000), pp. 253-276 [html]
  181. Krystal, AD; Prado, R; West, M, New methods of time series analysis of non-stationary EEG data: eigenstructure decompositions of time varying autoregressions., Clin Neurophysiol, vol. 110 no. 12 (December, 1999), pp. 2197-2206, ISSN 1388-2457 [10616127], [doi]  [abs]
  182. West, M; Prado, R; Krystal, AD, Evaluation and Comparison of EEG Traces: Latent Structure in Nonstationary Time Series, Journal of the American Statistical Association, vol. 94 no. 446 (June, 1999), pp. 375-387, Informa UK Limited, ISSN 0162-1459 [html], [doi]  [abs]
  183. Aguilar, O; Huerta, G; Prado, R; West, M, Bayesian inference on latent structure in time series, edited by Bernardo, JM; Berger, JO; Dawid, AP; Smith, AFM, BAYESIAN STATISTICS 6 (January, 1999), pp. 3-26, OXFORD UNIV PRESS, ISBN 0-19-850485-3 [Gateway.cgi]
  184. Huerta, G; West, M, Priors and component structures in autoregressive time series models, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 61 no. 4 (January, 1999), pp. 881-899, WILEY [html], [doi]  [abs]
  185. Huerta, G; West, M, Bayesian inference on periodicities and component spectral structure in time series, Journal of Time Series Analysis, vol. 20 no. 4 (January, 1999), pp. 401-416, WILEY [html], [doi]  [abs]
  186. A.D. Krystal, M. West, R Prado, H.S. Greenside, S. Zoldi, and R.D. Weiner, The EEG Effects of ECT: Implications for rTMS, in Progress in Neuropsychopharmacology and Biological Psychiatry (1999) [html]
  187. O. Aguilar, R. Prado, G. Huerta and M. West, Bayesian inference on latent structure in time series(with discussion), in Bayesian Statistics 6, edited by J.O. Bernardo et al. (1999), pp. 3-26, OUP [html]
  188. Turner, DA; Chen, Y; Wheal, HV; West, M, Statistical inference of synaptic responses: Physiological and statistical approaches, in Modelling in the Neurosciences: From Ion Channels to Neural Networks, edited by Poznanski, RR (1999), pp. 39-78, London, Gordon & Breach Publishers [html]
  189. Krystal, AD; Zoldi, S; Prado, R; Greenside, HS; West, M, The spatiotemporal dynamics of generalized tonic-clonic seizure EEG data: Relevance to the climinal practice of electroconvulsive therapy, in Nonlinear Dynamics and Brain Functioning, edited by Pradhan, N; Rapp, PE; Sreenivasan, R (1999), New York: Novascience [htm]
  190. Aguilar, O; West, M, Analysis of hospital quality monitors using hierarchical time series models, in Case Studies in Bayesian Statistics, Vol. 4, edited by Gatsonis, CA; Kass, RE; Carlin, B; Carriquiry, A; Gelman, A; Verdinelli, I; West, M, Case Studies in Bayesian Statistics, Vol. 4 (1999), pp. 287-302, Springer Verlag, New York [html]
  191. Krystal, AD; Prado, R; West, M, New methods of time series analysis for non-stationary EEG data: Eigenstructure decompositions of time varying autoregressions, Clinical Neurophysiology, vol. 110 no. 12 (1999), pp. 1-10, ISSN 1388-2457 [pdf]  [abs]
  192. West, M, Time-frequency decompositions: Bayesian model-based approaches, Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 1 (December, 1998), pp. 276  [abs]
  193. Tebaldi, C; West, M, Bayesian inference on network traffic using link count data, Journal of the American Statistical Association, vol. 93 no. 442 (June, 1998), pp. 557-573, Informa UK Limited [doi]  [abs]
  194. Tebaldi, C; West, M, Rejoinder, Journal of the American Statistical Association, vol. 93 no. 442 (June, 1998), pp. 576-576, Informa UK Limited [doi]
  195. West, M, Bayesian forecasting, in Encyclopedia of Statistical Sciences, edited by Kotz, S; Read, CB; Banks, DL (1998), pp. 50-60, Wiley [ps]
  196. Paddock, S; West, M; Young, S; Clyde, M, Mixture models in the exploration of structure-activity relationships in drug design, in Case Studies in Bayesian Statistics, Vol. 4, edited by Gatsonis, CA; Kass, RE; Carlin, B; Carriquiry, A; Gelman, A; Verdinelli, I; West, M, Case Studies in Bayesian Statistics, Vol. 4 (1998), pp. 339-354, Springer-Verlag, New York [html]
  197. Escobar, MD; West, M, Computing nonparametric hierarchical models, in Practical Non and Semiparametric Bayesian Statistics, edited by Müller, P; Dey, DD; Sinha, D (1998), pp. 1-16, Springer-Verlag [html]
  198. West, M, Case Studies in Bayesian Statistics IV, edited by Gatsonis, CA; Kass, RE; Carlin, B; Carriquiry, A; Gelman, A; Verdinelli, I; West, M (1998), Springer-Verlag, New York [Case_studies_in_Bayesian_statistics.html]
  199. Huerta, G; West, M, Bayesian inference for unequally-spaced time series, JSM Proceedings,Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association (1998), pp. 17-21 [mw/MWextrapubs/Huerta1999.pdf]
  200. Tebaldi, C; West, M, Bayesian inference on network traffic using link count data (with discussion), Journal of the American Statistical Association, vol. 93 no. 442 (1998), pp. 557-576, JSTOR [html], [doi]  [abs]
  201. Paddock, S; Clyde, MA; West, M, Mixture models in the exploration of structure-activity relationships in drug design, in Bayesian Statistics in Science and Engineering: Case Studies IV, edited by Gastonis, C; Kass, RE; Carlin, B; Carriquiry, A; German, A; West, M; Verdinelli, I (1998), pp. 339-353, Springer, ISBN 978-1-4612-1502-8 [doi]  [abs]
  202. Cargnoni, C; Müller, P; West, M, Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models, Journal of the American Statistical Association, vol. 92 no. 438 (June, 1997), pp. 640-647, Informa UK Limited [doi]  [abs]
  203. West, M, Hierarchical Mixture Models in Neurological Transmission Analysis, Journal of the American Statistical Association, vol. 92 no. 438 (June, 1997), pp. 587-606, Informa UK Limited [doi]  [abs]
  204. Turner, DA; Chen, Y; Isaac, JT; West, M; Wheal, HV, Excitatory synaptic site heterogeneity during paired pulse plasticity in CA1 pyramidal cells in rat hippocampus in vitro., J Physiol, vol. 500 ( Pt 2) no. Pt 2 (April, 1997), pp. 441-461, ISSN 0022-3751 [9147329], [doi]  [abs]
  205. Robert, CP; Aitkin, M; Cox, DR; Stephens, M; Polymenis, A; Gilks, WR; Nobile, A; Hodgson, M; OHagan, A; Longford, NT; Dawid, AP; Atkinson, AC; Bernardo, JM; Besag, J; Brooks, SP; Byers, S; Raftery, A; Celeux, G; Cheng, RCH; Liu, WB; Chien, YH; George, EI; Cressie, N; Huang, HC; Gruet, MA; Heath, SC; Jennison, C; Lawson, AB; Clark, A; McLachlan, G; Peel, D; Mengersen, K; George, A; Philippe, A; Roeder, K; Wasserman, L; Schlattmann, P; Bohning, D; Titterington, DM; Tong, H; West, M, On Bayesian analysis of mixtures with an unknown number of components - Discussion, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, vol. 59 no. 4 (January, 1997), pp. 758-792, WILEY-BLACKWELL, ISSN 1369-7412 [Gateway.cgi]
  206. Müller, P; West, M; Maceachern, S, Bayesian models for non-linear autoregressions, Journal of Time Series Analysis, vol. 18 no. 6 (January, 1997), pp. 593-614, WILEY [html], [doi]  [abs]
  207. Cao, G; West, M, Computing distributions of order statistics, Communications in Statistics - Theory and Methods, vol. 26 no. 3 (January, 1997), pp. 755-764, Informa UK Limited [doi]  [abs]
  208. West, M, Time series decomposition, Biometrika, vol. 84 no. 2 (January, 1997), pp. 489-494, Oxford University Press (OUP), ISSN 0006-3444 [html], [doi]  [abs]
  209. M. West, Modelling and robustness issues in Bayesian time series analysis (with discussion), in Bayesian Robustness, IMS Monographs, edited by J.O. Berger et al. (1997), pp. 231-252
  210. Prado, R; West, M, Exploratory modelling of multiple non-stationary time series: Latent process structure and decompositions, in Modelling Longitudinal and Spatially Correlated Data, edited by Gregoire, T (1997), pp. 349-362, Springer-Verlag [html]
  211. Turner, DA; Chen, Y; Isaac, J; West, M; Wheal, HV, Heterogeneity between non-NMDA synaptic sites in paired-pulse plasticity of CA1 pyramidal neurons in the hippocampus, Journal of Physiology, vol. 500 (1997), pp. 441-461
  212. Cao, G; West, M, Practical Bayesian inference using mixtures of mixtures., Biometrics, vol. 52 no. 4 (December, 1996), pp. 1334-1341, ISSN 0006-341X [doi]  [abs]
  213. West, M, Bayesian time series: Models and computations for the analysis of time series in the physical sciences, edited by Hanson, KM; Silver, RN, MAXIMUM ENTROPY AND BAYESIAN METHODS, vol. 79 (January, 1996), pp. 23-34, KLUWER ACADEMIC PUBL, ISBN 0-7923-4311-5 [Gateway.cgi]
  214. West, M, Inference in successive sampling discovery models, Journal of Econometrics, vol. 75 no. 1 (January, 1996), pp. 217-238, Elsevier BV [html], [doi]  [abs]
  215. Müller, P; Erkanli, A; West, M, Bayesian curve fitting using multivariate normal mixtures, Biometrika, vol. 83 no. 1 (January, 1996), pp. 67-79, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  216. M. West, Bayesian time series: Models and computations for the analysisd of time series in the physical sciences, in Maximum Entropy and Bayesian Methods 15, edited by K. Hanson and R. Silver (1996), Kluwer [html]
  217. West, M, Some statistical issues in Palæoclimatology (with discussion), edited by Bernardo, JM; Berger, JO; Dawid, AP; Smith, AFM, Bayesian Statistics 5 (1996), pp. 461-486, Oxford University Press [html]
  218. West, M, Modelling and robustness issues in Bayesian time series analysis, vol. 29 (1996), pp. 231-252, Institute of Mathematical Statistics, ISBN 0940600412 [Gateway.cgi], [doi]
  219. Escobar, MD; West, M, Bayesian density estimation and inference using mixtures, Journal of the American Statistical Association, vol. 90 no. 430 (January, 1995), pp. 577-588, JSTOR, ISSN 0162-1459 [Gateway.cgi], [doi]  [abs]
  220. West, M, Bayesian inference in cyclical component dynamic linear models, Journal of the American Statistical Association, vol. 90 no. 432 (January, 1995), pp. 1301-1312, JSTOR, ISSN 0162-1459 [Gateway.cgi], [doi]  [abs]
  221. West, M, Statistical inference for gravity models in transportation flow forecasting (1994) [ps]
  222. West, M, Discovery sampling and selection models, in Statistical Decision Theory and Related Topics, edited by Gupta, SS; Berger, JO, Statistical Decision Theory and Related Topics (1994), pp. 221-235, Springer-Verlag, New York [html]
  223. West, M; Müller, P; Escobar, MD, Hierarchical priors and mixture models, with application in regression and density estimation, in Aspects of Uncertainty: A Tribute to D.V. Lindley, edited by Smith, AFM; Freeman, PR (1994), pp. 363-386, London: Wiley [html]
  224. West, M; Turner, DA, Deconvolution of Mixtures in Analysis of Neural Synaptic Transmission, The Statistician, vol. 43 no. 1 (1994), pp. 31-31, JSTOR, ISSN 0039-0526 [Gateway.cgi], [doi]
  225. Turner, DA; West, M, Bayesian analysis of mixtures applied to post-synaptic potential fluctuations., J Neurosci Methods, vol. 47 no. 1-2 (April, 1993), pp. 1-21, ISSN 0165-0270 [8321009], [doi]  [abs]
  226. WEST, M, APPROXIMATING POSTERIOR DISTRIBUTIONS BY MIXTURES, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, vol. 55 no. 2 (January, 1993), pp. 409-422, BLACKWELL PUBL LTD, ISSN 0035-9246 [Gateway.cgi]
  227. West, M; Cao, G, Assessing mechanisms of neural synaptic activity, in Case Studies in Bayesian Statistics, Vol. 1, edited by Gatsonis, CA; Hodges, J; Kass, RE; Singpurwalla, ND, Case Studies in Bayesian Statistics, Vol. 1 (1993), pp. 416-428, Springer-Verlag, New York
  228. West, M, Mixture models, Monte Carlo, Bayesian updating and dynamic models, Computing Science and Statistics, vol. 24 (1993), pp. 325-333 [mw/MWextrapubs/West1993a.pdf]
  229. West, M, Approximating posterior distributions by mixtures, Journal of the Royal Statistical Society (Ser. B), vol. 54 no. 2 (1993), pp. 553-568, ISSN 0035-9246 [mw/MWextrapubs/West1993b.pdf]
  230. Turner, DA; West, M, Statistical analysis of mixtures applied to postsynaptic potential fluctuations, Journal of Neuroscience Methods, vol. 47 (1993), pp. 1-23 [mw/MWextrapubs/Turner1993.pdf]
  231. Lavine, M; West, M, A Bayesian method for classification and discrimination, Canadian Journal of Statistics, vol. 20 no. 4 (January, 1992), pp. 451-461, WILEY, ISSN 0319-5724 [Gateway.cgi], [doi]  [abs]
  232. WEST, M; CROSSE, J, MODELING PROBABILISTIC AGENT OPINION, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, vol. 54 no. 1 (January, 1992), pp. 285-299, BLACKWELL PUBL LTD, ISSN 0035-9246 [Gateway.cgi]
  233. WEST, M, MODELING AGENT FORECAST DISTRIBUTIONS, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, vol. 54 no. 2 (January, 1992), pp. 553-567, BLACKWELL PUBL LTD, ISSN 0035-9246 [Gateway.cgi]
  234. M. West, Modelling with mixtures (with discussion), in Bayesian Statistics 4, edited by J.O. Berger et al. (1992), OUP
  235. M. West, On Bayesian statistics in astronomical investigation: Source detection with low particle counts, in Statistical Challenges in Modern Astronomy, edited by E.D. Fiegelson and G.J. Babu (1992), Springer-Verlag
  236. M. West, Modelling time-varying hazards and movariate effects (with discussion), in Survival Analysis: State of the Art, edited by J.P. Klein and P.K. Goel (1992), Kluwer
  237. Harrison, J; West, M, Dynamic linear model diagnostics, Biometrika, vol. 78 no. 4 (December, 1991), pp. 797-808, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  238. West, M, Kernel density estimation and marginalization consistency, Biometrika, vol. 78 no. 2 (June, 1991), pp. 421-425, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  239. WEST, M; WINKLER, RL, DATA-BASE ERROR TRAPPING AND PREDICTION, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, vol. 86 no. 416 (1991), pp. 987-996, Informa UK Limited, ISSN 0162-1459 [Gateway.cgi], [doi]  [abs]
  240. Pole, A; West, M, Efficient bayesian learning in non‐linear dynamic models, Journal of Forecasting, vol. 9 no. 2 (January, 1990), pp. 119-136, WILEY, ISSN 0277-6693 [Gateway.cgi], [doi]  [abs]
  241. West, M; Harrison, PJ, Subjective intervention in formal models, Journal of Forecasting, vol. 8 no. 1 (1989), pp. 33-53, WILEY [doi]  [abs]
  242. Pole, A; West, M, Reference analysis of the DLM, Journal of Time Series Analysis, vol. 10 no. 2 (1989), pp. 131-147, WILEY [doi]  [abs]
  243. West, M, Bayesian statistics two: Proceedings of the second Valencia international meeting on Bayesian statistics, International Journal of Forecasting, vol. 4 no. 4 (January, 1988), pp. 609-611, Elsevier BV, ISSN 0169-2070 [Gateway.cgi], [doi]
  244. M. West, Modelling expert opinion (with discussion), in Bayesian Statistics 3, edited by J.M. Bernardo et al. (1988), OUP [pdf]
  245. J.M. Quintana and M. West, Time series analysis of compositional data, in Bayesian Statistics 3, edited by J.M. Bernardo et al. (1988), OUP
  246. A. Pole, M. West, and P.J. Harrison, Non-normal and non-linear dynamic Bayesian modelling, in Bayesian Analysis of Time Series and Dynamic Models, edited by J.C. Spall (1988), Marcel Dekker, NY
  247. GAMERMAN, D; WEST, M, AN APPLICATION OF DYNAMIC SURVIVAL MODELS IN UNEMPLOYMENT STUDIES, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, vol. 36 no. 2-3 (January, 1987), pp. 269-274, BLACKWELL PUBL LTD, ISSN 0039-0526 [Gateway.cgi], [doi]
  248. M. West and J. Mortera, Bayesian models and methods for binary time series, in Probability and Bayesian Statistics, edited by R. Viertl (1987), Elsevier, Amsterdam
  249. Quintana, JM; West, M, An analysis of international exchange rates using multivariate DLMs, The Statistician, vol. 36 no. 2-3 (1987), pp. 275-281, BLACKWELL PUBL LTD
  250. West, M, On scale mixtures of normal distributions, Biometrika, vol. 74 no. 3 (1987), pp. 646-648, Oxford University Press (OUP) [doi]  [abs]
  251. West, M; Harrison, PJ; Pole, A, BATS: Bayesian Analysis of Time Series, The Professional Statistician, vol. 6 (1987), pp. 43-46
  252. Harrison, PJ; West, M, Practical Bayesian forecasting, The Statistician, vol. 36 no. 2-3 (1987), pp. 115-125, BLACKWELL PUBL LTD
  253. Gamerman, D; West, M, A time series application of dynamic survival models in unemployment studies, The Statistician, vol. 36 (1987), pp. 269-274
  254. West, M, Discussion: Influence Functionals for Time Series, The Annals of Statistics, vol. 14 no. 3 (September, 1986), pp. 838-840, Institute of Mathematical Statistics, ISSN 0090-5364 [Gateway.cgi], [doi]
  255. West, M, Discussion of: Influence functionals for time series, Annals of Statistics, vol. 14 (1986), pp. 838-840
  256. West, M; Harrison, PJ, Monitoring and adaptation in Bayesian forecasting models, Journal of the American Statistical Association, vol. 81 no. 395 (1986), pp. 741-750, JSTOR [doi]  [abs]
  257. West, M, Bayesian model monitoring, Journal of the Royal Statistical Society (Ser. B), vol. 48 no. 1 (1986), pp. 70-78, BLACKWELL PUBL LTD
  258. HARRISON, PJ; WEST, M, ASPECTS OF BAYESIAN FORECASTING, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, vol. 36 no. 12 (January, 1985), pp. 1155-1155, STOCKTON PRESS, ISSN 0160-5682 [Gateway.cgi]
  259. West, M; Harrison, PJ; Migon, HS, Rejoinder, Journal of the American Statistical Association, vol. 80 no. 389 (January, 1985), pp. 96-97, Informa UK Limited [doi]
  260. West, M; Harrison, PJ; Migon, HS, Dynamic generalized linear models and Bayesian forecasting, Journal of the American Statistical Association, vol. 80 no. 389 (January, 1985), pp. 73-83, Informa UK Limited [doi]  [abs]
  261. M. West, Generalised linear models: scale parameters, outlier accommodation and prior distributions (with discussion), edited by J.M. Barnardo et al., Bayesian Statistics 2 (1985), pp. 531-558, North Holland, Amsterdam
  262. West, M; Harrison, P; Migon, HS, Dynamic generalised linear models and Bayesian forecasting (with discussion), Journal of the American Statistical Association, vol. 80 no. 389 (1985), pp. 73-97, JSTOR [doi]
  263. West, M, Bayesian aggregation, Journal of the Royal Statistical Society (Ser. A), vol. 147 no. 4 (1984), pp. 600-607, JSTOR [pdf], [doi]
  264. West, M, Outlier models and prior distributions in Bayesian linear regression, Journal of the Royal Statistical Society (Ser. B), vol. 46 no. 3 (1984), pp. 431-439, BLACKWELL PUBL LTD
  265. Smith, AFM; West, M, Monitoring renal transplants: An application of the multi-process Kalman filter, Biometrics, vol. 39 no. 4 (1983), pp. 867-878 [pdf], [doi]  [abs]
  266. Smith, AFM; West, M; Gordon, K; Knapp, MS; Trimble, I, Monitoring kidney transplant patients, The Statistician, vol. 32 no. 1-2 (1983), pp. 46-54, BLACKWELL PUBL LTD
  267. Trimble, I; West, M; Knapp, MS; Pownall, R; Smith, AFM, Detection of renal allograft rejection by computer, British Medical Journal, vol. 286 no. 6379 (1983), pp. 1695-1699 [mw/MWextrapubs/Trimble1983.pdf], [doi]  [abs]
  268. Knapp, MS; Trimble, I; Pownall, R; West, M; Smith, A, The detection of sudden change in renal function by time-series analysis, including the use of the Kalman Filter - a new statistical approach with potential applications for chronobiologists, Advances in the Biosciences, vol. 41 no. C (December, 1982), pp. 369-373  [abs]
  269. West, M, Robust sequential approximate Bayesian estimation, Journal of the Royal Statistical Society (Ser. B), vol. 43 (1981), pp. 157-166 [mw/MWextrapubs/West1981.pdf]