Bayesian forecasting and dynamic models M West, J Harrison Springer Science & Business Media, 2006 | 4965 | 2006 |
Bayesian density estimation and inference using mixtures MD Escobar, M West Journal of the american statistical association 90 (430), 577-588, 1995 | 3142 | 1995 |
Oncogenic pathway signatures in human cancers as a guide to targeted therapies AH Bild, G Yao, JT Chang, Q Wang, A Potti, D Chasse, MB Joshi, ... Nature 439 (7074), 353-357, 2006 | 2340 | 2006 |
Predicting the clinical status of human breast cancer by using gene expression profiles M West, C Blanchette, H Dressman, E Huang, S Ishida, R Spang, H Zuzan, ... Proceedings of the national academy of Sciences 98 (20), 11462-11467, 2001 | 1747 | 2001 |
Combined parameter and state estimation in simulation-based filtering J Liu, M West Sequential Monte Carlo methods in practice, 197-223, 2001 | 1295 | 2001 |
Dynamic generalized linear models and Bayesian forecasting M West, PJ Harrison, HS Migon Journal of the American Statistical Association 80 (389), 73-83, 1985 | 860 | 1985 |
Gene expression predictors of breast cancer outcomes E Huang, SH Cheng, H Dressman, J Pittman, MH Tsou, CF Horng, A Bild, ... The Lancet 361 (9369), 1590-1596, 2003 | 824 | 2003 |
Bayesian factor regression models in the “large p, small n” paradigm JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian statistics 7, 733-742, 2003 | 767 | 2003 |
Monte Carlo smoothing for nonlinear time series SJ Godsill, A Doucet, M West Journal of the american statistical association 99 (465), 156-168, 2004 | 737 | 2004 |
Role for E2F in control of both DNA replication and mitotic functions as revealed from DNA microarray analysis S Ishida, E Huang, H Zuzan, R Spang, G Leone, M West, JR Nevins Molecular and cellular biology 21 (14), 4684-4699, 2001 | 730 | 2001 |
Bayesian dynamic factor models and portfolio allocation O Aguilar, M West Journal of Business & Economic Statistics 18 (3), 338-357, 2000 | 725 | 2000 |
A genomic strategy to refine prognosis in early-stage non–small-cell lung cancer A Potti, S Mukherjee, R Petersen, HK Dressman, A Bild, J Koontz, ... New England Journal of Medicine 355 (6), 570-580, 2006 | 703 | 2006 |
High-dimensional sparse factor modeling: applications in gene expression genomics CM Carvalho, J Chang, JE Lucas, JR Nevins, Q Wang, M West Journal of the American Statistical Association 103 (484), 1438-1456, 2008 | 642 | 2008 |
Sparse graphical models for exploring gene expression data A Dobra, C Hans, B Jones, JR Nevins, G Yao, M West Journal of Multivariate Analysis 90 (1), 196-212, 2004 | 593 | 2004 |
Applied Bayesian forecasting and time series analysis A Pole, M West, J Harrison Chapman and Hall/CRC, 2018 | 560 | 2018 |
Time series: Modeling, Computation, and Inference R Prado, MAR Ferreira, M West CRC press, 2021 | 535* | 2021 |
Bayesian inference on network traffic using link count data C Tebaldi, M West Journal of the American Statistical Association 93 (442), 557-573, 1998 | 485 | 1998 |
Approximating posterior distributions by mixtures M West Journal of the Royal Statistical Society: Series B (Methodological) 55 (2 …, 1993 | 484 | 1993 |
Hierarchical priors and mixture models, with application in regression and density estimation M West, MD Escobar Institute of Statistics and Decision Sciences, Duke University, 1993 | 462 | 1993 |
On scale mixtures of normal distributions M West Biometrika 74 (3), 646-648, 1987 | 442 | 1987 |