Mathematics : Publications since January 2018
List all publications in the database. :chronological alphabetical combined bibtex listing:
Agarwal, Pankaj K.
 Agarwal, PK; Chang, HC; Xiao, A, Efficient algorithms for geometric partial matching,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Agarwal, PK; Aronov, B; Ezra, E; Zahl, J, An efficient algorithm for generalized polynomial partitioning and its applications,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Agarwal, PK; Cohen, R; Halperin, D; Mulzer, W, Maintaining the union of unit discs under insertions with nearoptimal overhead,
Leibniz International Proceedings in Informatics, Lipics, vol. 129
(June, 2019), ISBN 9783959771047 [doi] [abs]
 Rav, M; Lowe, A; Agarwal, PK, Flood risk analysis on terrains,
Acm Transactions on Spatial Algorithms and Systems, vol. 5 no. 1
(May, 2019) [doi] [abs]
 Agarwal, PK; Pan, J, NearLinear Algorithms for Geometric Hitting Sets and Set Covers,
Discrete & Computational Geometry
(January, 2019) [doi] [abs]
 Agarwal, PK; Kaplan, H; Kipper, G; Mulzer, W; Rote, G; Sharir, M; Xiao, A, Approximate minimumweight matching with outliers under translation,
Leibniz International Proceedings in Informatics, Lipics, vol. 123
(December, 2018), ISBN 9783959770941 [doi] [abs]
 Lowe, A; Agarwal, PK, Floodrisk analysis on terrains under the multiflowdirection model,
Gis: Proceedings of the Acm International Symposium on Advances in Geographic Information Systems
(November, 2018),
pp. 5362, ACM Press, ISBN 9781450358897 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Acm Transactions on Algorithms, vol. 14 no. 4
(August, 2018),
pp. 121, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes,
Leibniz International Proceedings in Informatics, Lipics, vol. 107
(July, 2018), ISBN 9783959770767 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Journal of Computer and System Sciences, vol. 94
(June, 2018),
pp. 118134, Elsevier BV [doi] [abs]
 Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon,
Leibniz International Proceedings in Informatics, Lipics, vol. 99
(June, 2018),
pp. 41414 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Computing shortest paths in the plane with removable obstacles,
Leibniz International Proceedings in Informatics, Lipics, vol. 101
(June, 2018),
pp. 51515, ISBN 9783959770682 [doi] [abs]
 Agarwal, PK; Kyle, FOX; Nath, A; Sidiropoulos, A; Wang, Y, Computing the gromovhausdorff distance for metric trees,
Acm Transactions on Algorithms, vol. 14 no. 2
(June, 2018),
pp. 120, Association for Computing Machinery (ACM) [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A; Pan, J; Taylor, E, Subtrajectory clustering: Models and algorithms,
Proceedings of the Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems
(May, 2018),
pp. 7587, ACM Press, ISBN 9781450347068 [doi] [abs]
 Gao, J; Agarwal, PK; Yang, J, Durable topk queries on temporal data,
Proceedings of the Vldb Endowment, vol. 11 no. 13
(January, 2018),
pp. 22232235 [doi] [abs]
 Agarwal, PK; Fox, K; Nath, A, Maintaining reeb graphs of triangulated 2manifolds,
Leibniz International Proceedings in Informatics, Lipics, vol. 93
(January, 2018), ISBN 9783959770552 [doi] [abs]
Agazzi, Andrea
 Agazzi, A; Dembo, A; Eckmann, JP, On the Geometry of Chemical Reaction Networks: Lyapunov Function and Large Deviations,
Journal of Statistical Physics, vol. 172 no. 2
(July, 2018),
pp. 321352 [doi] [abs]
 Agazzi, A; Dembo, A; Eckmann, JP, Large deviations theory for markov jump models of chemical reaction networks,
The Annals of Applied Probability, vol. 28 no. 3
(June, 2018),
pp. 18211855 [doi] [abs]
Arlotto, Alessandro
 Arlotto, A; Wei, Y; Xie, X, An adaptive O(log n)optimal policy for the online selection of a monotone subsequence from a random sample,
Random Structures & Algorithms, vol. 52 no. 1
(January, 2018),
pp. 4153, WILEY [doi] [abs]
 Arlotto, A; Xie, X, Logarithmic regret in the dynamic and stochastic knapsack problem.,
Corr, vol. abs/1809.02016
(2018)
 Arlotto, A; Frazelle, AE; Wei, Y, Strategic open routing in service networks,
Management Science
(2018), INFORMS
 Arlotto, A; Steele, JM, A central limit theorem for costs in Bulinskaya’s inventory management problem when deliveries face delays,
Methodology and Computing in Applied Probability, vol. 20 no. 3
(2018),
pp. 839854 [doi] [abs]
Autry, Eric A.
 Clifton, SM; Hill, K; Karamchandani, AJ; Autry, EA; McMahon, P; Sun, G, Mathematical model of gender bias and homophily in professional hierarchies.,
Chaos (Woodbury, N.Y.), vol. 29 no. 2
(February, 2019),
pp. 023135 [doi] [abs]
 Autry, EA; Bayliss, A; Volpert, VA, Biological control with nonlocal interactions.,
Mathematical Biosciences, vol. 301
(July, 2018),
pp. 129146 [doi] [abs]
Beale, J. Thomas
 Tlupova, S; Beale, JT, Regularized single and double layer integrals in 3D Stokes flow,
Journal of Computational Physics, vol. 386
(June, 2019),
pp. 568584 [doi] [abs]
 Beale, JT; Ying, W, Solution of the Dirichlet problem by a finite difference analog of the boundary integral equation,
Numerische Mathematik, vol. 141 no. 3
(March, 2019),
pp. 605626 [doi] [abs]
Beckman, Erin
 Beckman, E; Frank, N; Jiang, Y; Junge, M; Tang, S, The frog model on trees with drift,
Electronic Communications in Probability, vol. 24
(January, 2019), Institute of Mathematical Statistics [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018) [doi] [abs]
Bendich, Paul L
 Tralie, CJ; Bendich, P; Harer, J, MultiScale Geometric Summaries for SimilarityBased Sensor Fusion,
Ieee Aerospace Conference Proceedings, vol. 2019March
(March, 2019) [doi] [abs]
 Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 18, IEEE, ISBN 9781538620144 [doi] [abs]
 Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric crossmodal comparison of heterogeneous sensor data,
Ieee Aerospace Conference Proceedings, vol. 2018March
(June, 2018),
pp. 110, IEEE [doi] [abs]
Bertozzi, Andrea L
 J. B. Greer and A. L. Bertozzi, H1 solutions of a class of fourth order nonlinear equations for image processing,
Discrete And Continuous Dynamical Systems, vol. 10 no. 12
(2004),
pp. 349  366
Bray, Hubert
 Sormani, C; Bray, HL; Minicozzi, WP; Eichmair, M; Huang, LH; Yau, ST; Uhlenbeck, K; Kusner, R; Codá marques, F; Mese, C; Fraser, A, The Mathematics of Richard Schoen,
Notices of the American Mathematical Society, vol. 65 no. 11
(December, 2018),
pp. 11, American Mathematical Society (AMS) [doi]
 Bray, H; Roesch, H, Proof of a Null Geometry Penrose Conjecture,
Notices of the American Mathematical Society., vol. 65
(February, 2018), American Mathematical Society
Bryant, Robert
(search)
 Bryant, R; Buckmire, R; Khadjavi, L; Lind, D, The origins of spectra, an organization for LGBT mathematicians,
Notices of the American Mathematical Society, vol. 66 no. 6
(June, 2019),
pp. 875882 [doi]
Calderbank, Robert
 Beirami, A; Calderbank, R; Christiansen, MM; Duffy, KR; Medard, M, A Characterization of Guesswork on Swiftly Tilting Curves,
Ieee Transactions on Information Theory, vol. 65 no. 5
(May, 2019),
pp. 28502871 [doi] [abs]
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, MultiScale Spectrum Sensing in Dense MultiCell Cognitive Networks,
Ieee Transactions on Communications, vol. 67 no. 4
(April, 2019),
pp. 26732688 [doi] [abs]
 Vahid, A; Calderbank, R, Throughput region of spatially correlated interference packet networks,
Ieee Transactions on Information Theory, vol. 65 no. 2
(February, 2019),
pp. 12201235 [doi] [abs]
 Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks,
Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition
(December, 2018),
pp. 27432751 [doi] [abs]
 Nguyen, DM; Tsiligianni, E; Calderbank, R; Deligiannis, N, Regularizing autoencoderbased matrix completion models via manifold learning,
European Signal Processing Conference, vol. 2018September
(November, 2018),
pp. 18801884, ISBN 9789082797015 [doi] [abs]
 Mappouras, G; Vahid, A; Calderbank, R; Sorin, DJ, Extending flash lifetime in embedded processors by expanding analog choice,
Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol. 37 no. 11
(November, 2018),
pp. 24622473 [doi] [abs]
 Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R, Classifying PumpProbe Images of Melanocytic Lesions Using the WEYL Transform,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2018April
(September, 2018),
pp. 42094213, ISBN 9781538646588 [doi] [abs]
 Rengaswamy, N; Calderbank, R; Pfister, HD; Kadhe, S, Synthesis of Logical Clifford Operators via Symplectic Geometry,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 791795 [doi] [abs]
 Vahid, A; Calderbank, R, ARQ for Interference Packet Networks,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 781785, ISBN 9781538647806 [doi] [abs]
 Thompson, A; Calderbank, R, Compressed Neighbour Discovery using Sparse Kerdock Matrices,
Ieee International Symposium on Information Theory Proceedings, vol. 2018June
(August, 2018),
pp. 22862290, ISBN 9781538647806 [doi] [abs]
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multiscale spectrum sensing in millimeter wave cognitive networks,
Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, Acssc 2017, vol. 2017October
(April, 2018),
pp. 16401644, ISBN 9781538618233 [doi] [abs]
 Thompson, A; Calderbank, R, Sparse nearequiangular tight frames with applications in full duplex wireless communication,
2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018January
(March, 2018),
pp. 868872, IEEE, ISBN 9781509059904 [doi] [abs]
 Qiu, Q; Cheng, X; Calderbank, R; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters,
35th International Conference on Machine Learning, Icml 2018, vol. 9
(January, 2018),
pp. 66876696 [abs]
Cao, Yu
 Cao, Y; Lu, J; Lu, Y, Exponential Decay of Rényi Divergence Under Fokker–Planck Equations,
Journal of Statistical Physics, vol. 176 no. 5
(September, 2019),
pp. 11721184 [doi] [abs]
 Cao, Y; Lu, J; Lu, Y, Gradient flow structure and exponential decay of the sandwiched Rényi divergence for primitive Lindblad equations with GNSdetailed balance,
Journal of Mathematical Physics, vol. 60 no. 5
(May, 2019),
pp. 052202052202, AIP Publishing [doi] [abs]
 Cao, Y; Lu, J, Stochastic dynamical lowrank approximation method,
Journal of Computational Physics, vol. 372
(November, 2018),
pp. 564586, Elsevier BV [doi] [abs]
Cheng, Cheng
 Cheng, C; Jiang, Y; Sun, Q, Spatially distributed sampling and reconstruction,
Applied and Computational Harmonic Analysis, vol. 47 no. 1
(July, 2019),
pp. 109148, Elsevier BV [doi]
Cheng, Xiuyuan
 Cheng, X; Rachh, M; Steinerberger, S, On the diffusion geometry of graph Laplacians and applications,
Applied and Computational Harmonic Analysis, vol. 46 no. 3
(May, 2019),
pp. 674688, Elsevier BV [doi]
 Cheng, X; Mishne, G; Steinerberger, S, The geometry of nodal sets and outlier detection,
Journal of Number Theory, vol. 185
(April, 2018),
pp. 4864, Elsevier BV [doi]
 Yan, B; Sarkar, P; Cheng, X, Provable estimation of the number of blocks in block models,
International Conference on Artificial Intelligence and Statistics, Aistats 2018
(January, 2018),
pp. 11851194 [abs]
 Qiu, Q; Cheng, X; Calderbank, AR; Sapiro, G, DCFNet: Deep Neural Network with Decomposed Convolutional Filters., edited by Dy, JG; Krause, A,
Icml, vol. 80
(2018),
pp. 41954204, PMLR
Cruz, Joshua
 Cruz, J; Giusti, C; Itskov, V; Kronholm, B, On Open and Closed Convex Codes,
Discrete & Computational Geometry, vol. 61 no. 2
(March, 2019),
pp. 247270, Springer Nature [doi]
Dasgupta, Samit
 Dasgupta, S; Spiess, M, On the characteristic polynomial of the gross regulator matrix,
Transactions of the American Mathematical Society, vol. 372 no. 2
(January, 2019),
pp. 803827 [doi] [abs]
 Dasgupta, S; Kakde, M; Ventullo, K, On the GrossStark Conjecture,
Annals of Mathematics, vol. 188 no. 3
(November, 2018),
pp. 833870, Annals of Mathematics, Princeton U [doi] [abs]
 Dasgupta, S; Voight, J, Sylvester’s problem and mock heegner points,
Proceedings of the American Mathematical Society, vol. 146 no. 8
(January, 2018),
pp. 32573273, American Mathematical Society (AMS) [doi] [abs]
 Dasgupta, S; Spieß, M, Partial zeta values, Gross's tower of fields conjecture, and GrossStark units,
Journal of the European Mathematical Society, vol. 20 no. 11
(January, 2018),
pp. 26432683, European Mathematical Publishing House [doi] [abs]
Daubechies, Ingrid
 Sabetsarvestani, Z; Sober, B; Higgitt, C; Daubechies, I; Rodrigues, MRD, Artificial intelligence for art investigation: Meeting the challenge of separating xray images of the Ghent Altarpiece.,
Science Advances, vol. 5 no. 8
(August, 2019),
pp. eaaw7416 [doi] [abs]
 Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics, vol. 19 no. 4
(August, 2019),
pp. 869900, Springer Nature America, Inc [doi] [abs]
 Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution, vol. 10 no. 4
(April, 2019),
pp. 541552 [doi] [abs]
 Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks,
Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition
(December, 2018),
pp. 27432751 [doi] [abs]
 Yin, R; Daubechies, I, Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling,
Journal of Fourier Analysis and Applications, vol. 24 no. 3
(June, 2018),
pp. 872907, Springer Nature [doi] [abs]
 Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4
(April, 2018),
pp. 636658 [doi] [abs]
 Xu, J; Yang, H; Daubechies, I, Recursive diffeomorphismbased regression for shape functions,
Siam Journal on Mathematical Analysis, vol. 50 no. 1
(January, 2018),
pp. 532, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
Ding, Xiucai
 Ding, X; Yang, F, A necessary and sufficient condition for edge universality at the largest singular values of covariance matrices,
The Annals of Applied Probability, vol. 28 no. 3
(June, 2018),
pp. 16791738, Institute of Mathematical Statistics [doi]
Dolbow, John E.
 Geelen, RJM; Liu, Y; Hu, T; Tupek, MR; Dolbow, JE, A phasefield formulation for dynamic cohesive fracture,
Computer Methods in Applied Mechanics and Engineering, vol. 348
(May, 2019),
pp. 680711 [doi] [abs]
 Asareh, I; Kim, TY; Song, JH; Dolbow, JE, Corrigendum to “A linear complete extended finite element method for dynamic fracture simulation with nonnodal enrichments” [Finite Elem. Anal. Des. 152, 2018](S0168874X18305080)(10.1016/j.finel.2018.09.002),
Finite Elements in Analysis and Design, vol. 157
(May, 2019),
pp. 50 [doi] [abs]
 Liu, Y; Peco, C; Dolbow, J, A fully coupled mixed finite element method for surfactants spreading on thin liquid films,
Computer Methods in Applied Mechanics and Engineering, vol. 345
(March, 2019),
pp. 429453, Elsevier BV [doi] [abs]
 Peco, C; Liu, Y; Rhea, C; Dolbow, JE, Models and simulations of surfactantdriven fracture in particle rafts,
International Journal of Solids and Structures, vol. 156157
(January, 2019),
pp. 194209, Elsevier BV [doi] [abs]
 Geelen, RJM; Liu, Y; Dolbow, JE; RodríguezFerran, A, An optimizationbased phasefield method for continuousdiscontinuous crack propagation,
International Journal for Numerical Methods in Engineering, vol. 116 no. 1
(October, 2018),
pp. 120, WILEY [doi] [abs]
 Zhang, Z; Jiang, W; Dolbow, JE; Spencer, BW, A modified momentfitted integration scheme for XFEM applications with historydependent material data,
Computational Mechanics, vol. 62 no. 2
(August, 2018),
pp. 233252, Springer Nature [doi] [abs]
Dunson, David B.
(search)
 Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits.,
Neuroimage, vol. 197
(August, 2019),
pp. 330343 [doi] [abs]
 Li, C; Lin, L; Dunson, DB, On posterior consistency of tail index for Bayesian kernel mixture models,
Bernoulli, vol. 25 no. 3
(August, 2019),
pp. 19992028, Bernoulli Society for Mathematical Statistics and Probability [doi]
 Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains,
Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 81 no. 3
(July, 2019),
pp. 603627 [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation,
Ieee Transactions on Signal Processing, vol. 67 no. 7
(April, 2019),
pp. 19291940 [doi] [abs]
 Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions,
Journal of the American Statistical Association
(January, 2019) [doi] [abs]
 Norberg, A; Abrego, N; Blanchet, FG; Adler, FR; Anderson, BJ; Anttila, J; Araújo, MB; Dallas, T; Dunson, D; Elith, J; Foster, SD; Fox, R; Franklin, J; Godsoe, W; Guisan, A; O'Hara, B; Hill, NA; Holt, RD; Hui, FKC; Husby, M; Kålås, JA; Lehikoinen, A; Luoto, M; Mod, HK; Newell, G; Renner, I; Roslin, T; Soininen, J; Thuiller, W; Vanhatalo, J; Warton, D; White, M; Zimmermann, NE; Gravel, D; Ovaskainen, O, A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels,
Ecological Monographs, vol. 89 no. 3
(January, 2019) [doi] [abs]
 Wang, L; Zhang, Z; Dunson, D, Common and individual structure of brain networks,
The Annals of Applied Statistics, vol. 13 no. 1
(January, 2019),
pp. 85112 [doi] [abs]
 Li, M; Dunson, DB, Comparing and Weighting Imperfect Models Using DProbabilities,
Journal of the American Statistical Association
(January, 2019) [doi] [abs]
 Lin, L; Mu, N; Cheung, P; Dunson, D, Extrinsic Gaussian processes for regression and classification on manifolds,
Bayesian Analysis, vol. 14 no. 3
(January, 2019),
pp. 887906 [doi] [abs]
 Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment.,
Biometrics, vol. 74 no. 4
(December, 2018),
pp. 13311340 [doi] [abs]
 Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15151527, Informa UK Limited [doi] [abs]
 Zhao, S; Engelhardt, BE; Mukherjee, S; Dunson, DB, Fast Moment Estimation for Generalized Latent Dirichlet Models,
Journal of the American Statistical Association, vol. 113 no. 524
(October, 2018),
pp. 15281540 [doi] [abs]
 Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration,
Journal of Machine Learning Research, vol. 19
(October, 2018) [abs]
 Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space,
Journal of Machine Learning Research, vol. 19
(August, 2018),
pp. 135 [abs]
 van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extremaweighted feature extraction for functional data.,
Bioinformatics, vol. 34 no. 14
(July, 2018),
pp. 24572464 [doi] [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering,
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 27 no. 3
(July, 2018),
pp. 657672, Informa UK Limited [doi] [abs]
 Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian MultiPlate HighThroughput Screening of Compounds.,
Scientific Reports, vol. 8 no. 1
(June, 2018),
pp. 9551 [doi] [abs]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [doi] [abs]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters, vol. 136
(May, 2018),
pp. 49, Elsevier BV [doi] [abs]
 Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping populationbased structural connectomes.,
Neuroimage, vol. 172
(May, 2018),
pp. 130145 [doi] [abs]
 van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, GO; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.,
Diabetes Care, vol. 41 no. 4
(April, 2018),
pp. 782788 [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening,
Journal of the American Statistical Association
(January, 2018),
pp. 113, Informa UK Limited [doi] [abs]
 Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data,
Journal of the American Statistical Association
(January, 2018) [doi] [abs]
 Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks,
Bayesian Analysis, vol. 13 no. 1
(January, 2018),
pp. 2958, Institute of Mathematical Statistics [doi] [abs]
Durrett, Richard T.
 Cristali, I; Junge, M; Durrett, R, Poisson percolation on the oriented square lattice,
Stochastic Processes and Their Applications
(January, 2019) [doi] [abs]
 Wang, Z; Durrett, R, Extrapolating weak selection in evolutionary games.,
Journal of Mathematical Biology, vol. 78 no. 12
(January, 2019),
pp. 135154 [doi] [abs]
 Ma, R; Durrett, R, A simple evolutionary game arising from the study of the role of igfII in pancreatic cancer,
The Annals of Applied Probability, vol. 28 no. 5
(October, 2018),
pp. 28962921, Institute of Mathematical Statistics [doi] [abs]
 Talkington, A; Dantoin, C; Durrett, R, Ordinary Differential Equation Models for Adoptive Immunotherapy.,
Bulletin of Mathematical Biology, vol. 80 no. 5
(May, 2018),
pp. 10591083 [doi] [abs]
 Huo, R; Durrett, R, Latent voter model on locally treelike random graphs,
Stochastic Processes and Their Applications, vol. 128 no. 5
(May, 2018),
pp. 15901614, Elsevier BV [doi] [abs]
 Beckman, E; Dinan, E; Durrett, R; Huo, R; Junge, M, Asymptotic behavior of the brownian frog model,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Basak, A; Durrett, R; Foxall, E, Diffusion limit for the partner model at the critical value,
Electronic Journal of Probability, vol. 23
(January, 2018), Institute of Mathematical Statistics [doi] [abs]
 Cristali, I; Ranjan, V; Steinberg, J; Beckman, E; Durrett, R; Junge, M; Nolen, J, Block size in geometric(P)biased permutations,
Electronic Communications in Probability, vol. 23
(January, 2018),
pp. 110, Institute of Mathematical Statistics [doi] [abs]
Dym, Nadav
 Dym, N; Slutsky, R; Lipman, Y, Linear variational principle for Riemann mappings and discrete conformality.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 116 no. 3
(January, 2019),
pp. 732737 [doi] [abs]
 Dym, N, Spatial recurrence for ergodic fractal measures,
Studia Mathematica, vol. 248 no. 1
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Aip Conference Proceedings, vol. 1965
(May, 2018), Author(s), ISBN 9780735416703 [doi] [abs]
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Biomedical Engineering Online, vol. 17 no. 1
(May, 2018),
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 Wu, JC; Wang, CW; Huang, YH; Wu, HT; Huang, PC; Lo, YL, A Portable Monitoring System with Automatic Event Detection for Sleep Apnea LevelIV Evaluation,
Proceedings Ieee International Symposium on Circuits and Systems, vol. 2018May
(April, 2018), ISBN 9781538648810 [doi] [abs]
 Lin, CY; Su, L; Wu, HT, WaveShape Function Analysis: When Cepstrum Meets Time–Frequency Analysis,
Journal of Fourier Analysis and Applications, vol. 24 no. 2
(April, 2018),
pp. 451505, Springer Nature [doi] [abs]
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Physiological Measurement, vol. 39 no. 3
(March, 2018),
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 Frasch, MG; Lobmaier, SM; Stampalija, T; Desplats, P; Pallarés, ME; Pastor, V; Brocco, MA; Wu, HT; Schulkin, J; Herry, CL; Seely, AJE; Metz, GAS; Louzoun, Y; Antonelli, MC, Noninvasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multiscale multispecies perspective on data collection and analysis,
Neuroscience and Biobehavioral Reviews
(January, 2018) [doi] [abs]
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The Annals of Statistics, vol. 46 no. 6B
(January, 2018),
pp. 38053837, Institute of Mathematical Statistics [doi] [abs]
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Applied and Computational Harmonic Analysis, vol. 44 no. 1
(January, 2018),
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Wu, Nan
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(January, 2018),
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Yao, Dong
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Internet Mathematics
(January, 2018), Internet Mathematics [doi]
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(March, 2018),
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