Mathematics Faculty: Publications since January 2016
List all publications in the database. :recent first alphabetical combined bibtex listing:
Abel, Michael
 with M. Hogancamp, Stable homology of torus links via categorified Young symmetrizers II: onecolumn partitions
(February, 2016) [arXiv:1510.05330]
 HOMFLYPT homology for general link diagrams and braidlike isotopy
(June, 2016) [arxiv:1607.00314]
Agarwal, Pankaj K.
 Agarwal, PK; Fox, K; Salzman, O, An efficient algorithm for computing highquality paths amid polygonal obstacles,
Proceedings of the Annual ACMSIAM Symposium on Discrete Algorithms, vol. 2
(January, 2016),
pp. 11791192, ISBN 9781510819672 [abs]
 Pan, J; Rao, V; Agarwal, PK; Gelfand, AE, Markovmodulated marked poisson processes for checkin data,
33rd International Conference on Machine Learning, ICML 2016, vol. 5
(January, 2016),
pp. 33113320, ISBN 9781510829008 [abs]
 Yu, A; Agarwal, PK; Yang, J, Top$k$ Preferences in High Dimensions,
IEEE Transactions on Knowledge and Data Engineering, vol. 28 no. 2
(February, 2016),
pp. 311325, ISSN 10414347 [doi]
 Agarwal, PK; Fox, K; Pan, J; Ying, R, Approximating dynamic time warping and edit distance for a pair of point sequences,
LIPIcs, vol. 51
(June, 2016),
pp. 6.16.16 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Rangemax queries on uncertain data,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 465476, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Fox, K; Munagala, K; Nath, A, Parallel algorithms for constructing range and nearestneighbor searching data structures,
Proceedings of the ACM SIGACTSIGMODSIGART Symposium on Principles of Database Systems, vol. 26June01July2016
(June, 2016),
pp. 429440, ISBN 9781450341912 [doi] [abs]
 Agarwal, PK; Aronov, B; HarPeled, S; Phillips, JM; Yi, K; Zhang, W, NearestNeighbor Searching Under Uncertainty II,
ACM Transactions on Algorithms, vol. 13 no. 1
(October, 2016),
pp. 125 [doi]
 Ying, R; Pan, J; Fox, K; Agarwal, PK, A simple efficient approximation algorithm for dynamic time warping,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Nath, A; Fox, K; Agarwal, PK; Munagala, K, Massively parallel algorithms for computing TIN DEMs and contour trees for large terrains,
GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
(October, 2016), ISBN 9781450345897 [doi] [abs]
 Agarwal, PK; Pan, J; Victor, W, An efficient algorithm for placing electric vehicle charging stations,
LIPIcs, vol. 64
(December, 2016),
pp. 7.17.12, ISBN 9783959770262 [doi] [abs]
 Agarwal, PK; Fox, K; Panigrahi, D; Varadarajan, KR; Xiao, A, Faster algorithms for the geometric transportation problem,
LIPIcs, vol. 77
(June, 2017),
pp. 71716, ISBN 9783959770385 [doi] [abs]
 Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Efficient algorithms for kregret minimizing sets,
LIPIcs, vol. 75
(August, 2017), ISBN 9783959770361 [doi] [abs]
 Agarwal, PK; HarPeled, S; Suri, S; Yıldız, H; Zhang, W, Convex Hulls Under Uncertainty,
Algorithmica, vol. 79 no. 2
(October, 2017),
pp. 340367 [doi]
Arlotto, Alessandro
 Arlotto, A; Mossel, E; Steele, JM, Quickest online selection of an increasing subsequence of specified size,
Random Structures and Algorithms, vol. 49 no. 2
(September, 2016),
pp. 235252 [doi]
 Arlotto, A; Steele, JM, A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming,
Mathematics of Operations Research, vol. 41 no. 4
(November, 2016),
pp. 14481468 [doi]
Beale, J. Thomas
 Beale, JT; Ying, W; Wilson, JR, A Simple Method for Computing Singular or Nearly Singular Integrals on Closed Surfaces,
Communications in computational physics, vol. 20 no. 03
(September, 2016),
pp. 733753 [doi]
Bendich, Paul L
 Paul Bendich, Ellen Gasparovic, John Harer, and Christopher J. Tralie, Scaffoldings and Spines: Organizing HighDimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology
(2016) [1602.06245]
 Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S, Persistent Homology Analysis of Brain Artery Trees.,
The annals of applied statistics, vol. 10 no. 1
(January, 2016),
pp. 198218, ISSN 19326157 (to appear.) [repository], [doi] [abs]
 Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data,
LIPIcs, vol. 51
(June, 2016),
pp. 65.165.5, ISBN 9783959770095 [doi] [abs]
 Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications,
IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6
(December, 2016),
pp. 26442661 [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
 Bray, HL; Jauregui, JL; Mars, M, Time Flat Surfaces and the Monotonicity of the Spacetime Hawking Mass II,
Annales Henri Poincaré, vol. 17 no. 6
(July 26, 2015),
pp. 14571475, Springer Basel, ISSN 14240637 [arXiv:1402.3287 [math.DG]], [3287], [doi] [abs]
Bryant, Robert
(search)
 Bryant, RL; Huang, L; Mo, X, On Finsler surfaces of constant flag curvature with a Killing field,
Journal of Geometry and Physics, vol. 116
(June, 2017),
pp. 345357 [doi]
Calderbank, Robert
 Carpenter, KLH; Sprechmann, P; Calderbank, R; Sapiro, G; Egger, HL, Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.,
PloS one, vol. 11 no. 11
(January, 2016),
pp. e0165524 [doi] [abs]
 Thompson, A; Calderbank, R, Compressive imaging using fast transform coding,
Proceedings of SPIE  The International Society for Optical Engineering, vol. 9992
(January, 2016), ISBN 9781510603882 [doi] [abs]
 Goparaju, S; Rouayheb, SE; Calderbank, R, Can linear minimum storage regenerating codes be universally secure?,
Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 2016February
(February, 2016),
pp. 549553, ISBN 9781467385763 [doi] [abs]
 Huang, J; Qiu, Q; Calderbank, R, The Role of Principal Angles in Subspace Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 8
(April, 2016),
pp. 19331945 [doi]
 Qiu, Q; Thompson, A; Calderbank, R; Sapiro, G, Data Representation Using the Weyl Transform,
IEEE Transactions on Signal Processing, vol. 64 no. 7
(April, 2016),
pp. 18441853 [doi]
 Beirami, A; Calderbank, R; Christiansen, M; Duffy, K; Makhdoumi, A; Medard, M, A geometric perspective on guesswork,
2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015
(April, 2016),
pp. 941948, ISBN 9781509018239 [doi] [abs]
 Vahid, A; Shomorony, I; Calderbank, R, Informational bottlenecks in twounicast wireless networks with delayed CSIT,
2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015
(April, 2016),
pp. 12561263, ISBN 9781509018239 [doi] [abs]
 Wang, L; Renna, F; Yuan, X; Rodrigues, M; Calderbank, R; Carin, L, A general framework for reconstruction and classification from compressive measurements with side information,
IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016May
(May, 2016),
pp. 42394243, ISBN 9781479999880 [doi] [abs]
 Sokolic, J; Renna, F; Calderbank, R; Rodrigues, MRD, Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 12
(June, 2016),
pp. 30353050 [doi]
 Nokleby, M; Beirami, A; Calderbank, R, Ratedistortion bounds on Bayes risk in supervised learning,
IEEE International Symposium on Information Theory  Proceedings, vol. 2016August
(August, 2016),
pp. 20992103, ISBN 9781509018062 [doi] [abs]
 Vahid, A; Calderbank, R, When does spatial correlation add value to delayed channel state information?,
IEEE International Symposium on Information Theory  Proceedings, vol. 2016August
(August, 2016),
pp. 26242628, ISBN 9781509018062 [doi] [abs]
 Vahid, A; Calderbank, R, TwoUser Erasure Interference Channels With Local Delayed CSIT,
IEEE Transactions on Information Theory, vol. 62 no. 9
(September, 2016),
pp. 49104923 [doi]
 Mappouras, G; Vahid, A; Calderbank, R; Sorin, DJ, Methuselah flash: Rewriting codes for extra long storage lifetime,
Proceedings  46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016
(September, 2016),
pp. 180191, ISBN 9781467388917 [doi] [abs]
 Kumar, S; Calderbank, R; Pfister, HD, Beyond double transitivity: Capacityachieving cyclic codes on erasure channels,
2016 IEEE Information Theory Workshop, ITW 2016
(October, 2016),
pp. 241245, ISBN 9781509010905 [doi] [abs]
 Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD, Classification and Reconstruction of HighDimensional Signals From LowDimensional Features in the Presence of Side Information,
IEEE Transactions on Information Theory, vol. 62 no. 11
(November, 2016),
pp. 64596492 [doi]
 Thompson, A; Robles, FE; Wilson, JW; Deb, S; Calderbank, R; Warren, WS, Dualwavelength pumpprobe microscopy analysis of melanin composition.,
Scientific Reports, vol. 6
(November, 2016),
pp. 36871 [doi] [abs]
 Reboredo, H; Renna, F; Calderbank, R; Rodrigues, MRD, Bounds on the Number of Measurements for Reliable Compressive Classification,
IEEE Transactions on Signal Processing, vol. 64 no. 22
(November, 2016),
pp. 57785793 [doi]
 Campbell, K; Carpenter, KLH; Espinosa, S; Hashemi, J; Qiu, Q; Tepper, M; Calderbank, R; Sapiro, G; Egger, HL; Baker, JP; Dawson, G, Use of a Digital Modified Checklist for Autism in Toddlers  Revised with Followup to Improve Quality of Screening for Autism.,
The Journal of Pediatrics, vol. 183
(April, 2017),
pp. 133139.e1 [doi] [abs]
 Hadani, R; Rakib, S; Tsatsanis, M; Monk, A; Goldsmith, AJ; Molisch, AF; Calderbank, R, Orthogonal time frequency space modulation,
IEEE Wireless Communications and Networking Conference
(May, 2017), ISBN 9781509041831 [doi] [abs]
 Wang, L; Chen, M; Rodrigues, M; Wilcox, D; Calderbank, R; Carin, L, InformationTheoretic Compressive Measurement Design.,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39 no. 6
(June, 2017),
pp. 11501164 [doi] [abs]
Daubechies, Ingrid
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
 Daubechies, I; Wang, YG; Wu, HT, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150193, ISSN 1364503X [doi] [abs]
 Huang, NE; Daubechies, I; Hou, TY, Adaptive data analysis: theory and applications.,
Philosophical Transactions A, vol. 374 no. 2065
(April, 2016),
pp. 20150207, ISSN 1364503X [doi]
 Yin, R; Monson, E; Honig, E; Daubechies, I; Maggioni, M, Object recognition in art drawings: Transfer of a neural network,
IEEE International Conference on Acoustics Speech and Signal Processing, vol. 2016May
(May, 2016),
pp. 22992303, ISSN 15206149, ISBN 9781479999880 [doi] [abs]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, Xray image separation via coupled dictionary learning,
Proceedings / ICIP ... International Conference on Image Processing, vol. 2016August
(August, 2016),
pp. 35333537, ISBN 9781467399616 [doi] [abs]
 O'Neal, WT; Wang, YG; Wu, HT; Zhang, ZM; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study).,
The American Journal of Cardiology, vol. 118 no. 6
(September, 2016),
pp. 811815 [doi] [abs]
 Wu, HT; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.,
Methods of information in medicine, vol. 55 no. 5
(October, 2016),
pp. 463472 [doi] [abs]
 Daubechies, I; Defrise, M; Mol, CD, Sparsityenforcing regularisation and ISTA revisited,
Inverse Problems, vol. 32 no. 10
(October, 2016),
pp. 104001104001 [doi]
 Fodor, G; Cornelis, B; Yin, R; Dooms, A; Daubechies, I, Cradle Removal in XRay Images of Panel Paintings,
Image Processing On Line, vol. 7
(2017),
pp. 2342 [doi]
 Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings.,
IEEE Transactions on Image Processing, vol. 26 no. 1
(January, 2017),
pp. 160171 [doi] [abs]
 Voronin, S; Daubechies, I, An iteratively reweighted least squares algorithm for sparse regularization,
in Contemporary Mathematics, vol. 693
(January, 2017),
pp. 391411 [doi] [abs]
 Yin, R; Gao, T; Lu, YM; Daubechies, I, A Tale of Two Bases: LocalNonlocal Regularization on Image Patches with Convolution Framelets,
SIAM Journal on Imaging Sciences, vol. 10 no. 2
(January, 2017),
pp. 711750 [doi]
 Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, MultiModal Dictionary Learning for Image Separation With Application in Art Investigation,
IEEE Transactions on Image Processing, vol. 26 no. 2
(February, 2017),
pp. 751764 [doi]
Dolbow, John E.
 Spencer, BW; Jiang, W; Dolbow, JE; Peco, C, Pellet cladding mechanical interaction modeling using the extended finite element method,
Top Fuel 2016: LWR Fuels with Enhanced Safety and Performance
(January, 2016),
pp. 929938, ISBN 9780894487309 [abs]
 Stershic, AJ; Dolbow, JE; Moës, N, The Thick LevelSet model for dynamic fragmentation,
Engineering Fracture Mechanics, vol. 172
(March, 2017),
pp. 3960 [doi]
 Zhang, Z; Dolbow, JE, Remeshing strategies for large deformation problems with frictional contact and nearly incompressible materials,
International Journal for Numerical Methods in Engineering, vol. 109 no. 9
(March, 2017),
pp. 12891314 [doi]
 Peco, C; Chen, W; Liu, Y; Bandi, MM; Dolbow, JE; Fried, E, Influence of surface tension in the surfactantdriven fracture of closelypacked particulate monolayers.,
Soft Matter, vol. 13 no. 35
(September, 2017),
pp. 58325841 [doi] [abs]
Dunson, David B.
 Canale, A; Dunson, DB, Multiscale Bernstein polynomials for densities,
Statistica Sinica
(2016) [doi]
 Chabout, J; Sarkar, A; Patel, SR; Radden, T; Dunson, DB; Fisher, SE; Jarvis, ED, A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice.,
Frontiers in Behavioral Neuroscience, vol. 10
(January, 2016),
pp. 197 [doi] [abs]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
SIAM Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
 Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in highdimensional linear models,
33rd International Conference on Machine Learning, ICML 2016, vol. 4
(January, 2016),
pp. 26852706, ISBN 9781510829008 [abs]
 Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression,
Advances in Neural Information Processing Systems
(January, 2016),
pp. 802810 [abs]
 Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices,
2015 IEEE 6th International Workshop on Computational Advances in MultiSensor Adaptive Processing, CAMSAP 2015
(January, 2016),
pp. 385388, ISBN 9781479919635 [doi] [abs]
 Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Nonparametric Bayes modeling for case control studies with many predictors.,
Biometrics, vol. 72 no. 1
(March, 2016),
pp. 184192 [doi] [abs]
 Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation.,
Neural Networks, vol. 75
(March, 2016),
pp. 6676 [doi] [abs]
 Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence,
Biometrika, vol. 103 no. 1
(March, 2016),
pp. 3547 [doi]
 Yang, Y; Dunson, DB, Bayesian manifold regression,
Annals of statistics, vol. 44 no. 2
(April, 2016),
pp. 876905 [doi]
 Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for HighDimensional Classification,
Journal of the American Statistical Association, vol. 111 no. 514
(April, 2016),
pp. 656669 [doi]
 Kabisa, ST; Dunson, DB; Morris, JS, Online Variational Bayes Inference for HighDimensional Correlated Data,
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 25 no. 2
(April, 2016),
pp. 426444 [doi]
 Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of machine learning research : JMLR, vol. 17
(May, 2016) [abs]
 Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights,
Statistics & Probability Letters, vol. 113
(June, 2016),
pp. 4148 [doi]
 Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling.,
Biometrika, vol. 103 no. 2
(June, 2016),
pp. 319335 [doi] [abs]
 Lin, L; St. Thomas, B; Zhu, H; Dunson, DB, Extrinsic Local Regression on ManifoldValued Data,
Journal of the American Statistical Association
(July, 2016),
pp. 113 [doi]
 Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB, Personalised estimation of a woman's most fertile days.,
European Journal of Contraception and Reproductive Health Care, vol. 21 no. 4
(August, 2016),
pp. 323328 [doi] [abs]
 Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks,
Journal of the American Statistical Association
(August, 2016),
pp. 115 [doi] [abs]
 Zhu, H; Strawn, N; Dunson, DB, Bayesian graphical models for multivariate functional data,
Journal of machine learning research : JMLR, vol. 17
(October, 2016),
pp. 127 [abs]
 Sarkar, A; Dunson, DB, Bayesian Nonparametric Modeling of Higher Order Markov Chains,
Journal of the American Statistical Association, vol. 111 no. 516
(October, 2016),
pp. 17911803 [doi]
 Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS, Suboptimality of some continuous shrinkage priors,
Stochastic Processes and their Applications, vol. 126 no. 12
(December, 2016),
pp. 38283842 [doi]
 Durante, D; Dunson, DB, Locally adaptive dynamic networks,
The annals of applied statistics, vol. 10 no. 4
(December, 2016),
pp. 22032232 [doi]
 Datta, J; Dunson, DB, Bayesian inference on quasisparse count data,
Biometrika, vol. 103 no. 4
(December, 2016),
pp. 971983 [doi]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
 Dunson, DB, Toward Automated Prior Choice,
Statistical science : a review journal of the Institute of Mathematical Statistics, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, Tensor decompositions and sparse loglinear models,
Annals of statistics, vol. 45 no. 1
(February, 2017),
pp. 138 [doi]
 Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems,
Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 66 no. 3
(April, 2017),
pp. 555580 [doi]
 McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; DelfauLarue, MH; Fataccioli, V; Czader, MB; Lossos, IS; ChapmanFredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; MehtaShah, N; Horwitz, S; BernalMizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A et al., The Genetic Basis of Hepatosplenic Tcell Lymphoma.,
Cancer Discovery, vol. 7 no. 4
(April, 2017),
pp. 369379 [doi] [abs]
 Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; AuYeung, RKH; Kwong, YL; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathyassociated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
The Journal of Experimental Medicine, vol. 214 no. 5
(May, 2017),
pp. 13711386 [doi] [abs]
 Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequencyspecific oscillatory contexts.,
Brain and Behavior, vol. 7 no. 6
(June, 2017),
pp. e00710 [doi] [abs]
 Zhu, B; Dunson, DB, Bayesian Functional Data Modeling for Heterogeneous Volatility,
Bayesian Analysis, vol. 12 no. 2
(June, 2017),
pp. 335350 [doi]
 Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian networkresponse regression.,
Bioinformatics, vol. 33 no. 12
(June, 2017),
pp. 18591866 [doi] [abs]
 Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 665680 [doi]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics, vol. 73 no. 3
(September, 2017),
pp. 10181028 [doi] [abs]
 Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 649663 [doi]
Durrett, Richard T.
 Durrett, R; Foo, J; Leder, K, Spatial Moran models, II: cancer initiation in spatially structured tissue.,
Journal of Mathematical Biology, vol. 72 no. 5
(April, 2016),
pp. 13691400, ISSN 03036812 [doi] [abs]
 Ryser, MD; Worni, M; Turner, EL; Marks, JR; Durrett, R; Hwang, ES, Outcomes of Active Surveillance for Ductal Carcinoma in Situ: A Computational Risk Analysis.,
Journal of the National Cancer Institute, vol. 108 no. 5
(May, 2016) [doi] [abs]
 Cox, JT; Durrett, R, Evolutionary games on the torus with weak selection,
Stochastic Processes and their Applications, vol. 126 no. 8
(August, 2016),
pp. 23882409 [doi]
 Durrett, R; Fan, WTL, Genealogies in expanding populations,
The annals of applied probability : an official journal of the Institute of Mathematical Statistics, vol. 26 no. 6
(December, 2016),
pp. 34563490 [doi]
 Bessonov, M; Durrett, R, Phase transitions for a planar quadratic contact process,
Advances in Applied Mathematics, vol. 87
(June, 2017),
pp. 82107 [doi]
 Nanda, M; Durrett, R, Spatial evolutionary games with weak selection,
Proceedings of the National Academy of Sciences of USA, vol. 114 no. 23
(June, 2017),
pp. 60466051 [doi]
Fernandes de Oliveira, Goncalo M.
 Oliveira, G, Calabi–Yau Monopoles for the Stenzel Metric,
Communications in Mathematical Physics, vol. 341 no. 2
(January, 2016),
pp. 699728, ISSN 00103616 [repository], [doi]
 Oliveira, G, Monopoles on AC 3manifolds,
Journal of the London Mathematical Society, vol. 93 no. 3
(June, 2016),
pp. 785810, ISSN 00246107 [jlms.jdw017.abstract], [doi]
 Oliveira, G, G 2Monopoles with Singularities (Examples),
Letters in Mathematical Physics, vol. 106 no. 11
(November, 2016),
pp. 14791497 [doi]
 Oliveira, G, Gerbes on G2 manifolds,
Journal of Geometry and Physics, vol. 114
(April, 2017),
pp. 570580 [doi]
Getz, Jayce R.
 Getz, JR, A fourvariable automorphic kernel function,
Research in the Mathematical Sciences, vol. 3 no. 1
(December, 2016) [doi]
Hahn, Heekyoung
 H. Hahn, On tensor thrid Lfunctions of automorphic representations of GL_n(A_F),
Proc. Amer. Math. Soc.
(2016)
 H. Hahn, On classical groups detected by the triple tensor product and the LittlewoodRichardson semigroup
(2016)
 Hahn, H, On tensor third $L$functions of automorphic representations of $GL_n(\mathbb {A}_F)$,
Proceedings of the American Mathematical Society, vol. 144 no. 12
(May, 2016),
pp. 50615069 [doi]
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