Mike West
Mike West
Duke University
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Cited by
Cited by
Bayesian forecasting and dynamic models
M West, J Harrison
Springer Science & Business Media, 2006
Bayesian density estimation and inference using mixtures
MD Escobar, M West
Journal of the american statistical association 90 (430), 577-588, 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
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
Combined parameter and state estimation in simulation-based filtering
J Liu, M West
Sequential Monte Carlo methods in practice, 197-223, 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
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
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
Monte Carlo smoothing for nonlinear time series
SJ Godsill, A Doucet, M West
Journal of the american statistical association 99 (465), 156-168, 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
Bayesian dynamic factor models and portfolio allocation
O Aguilar, M West
Journal of Business & Economic Statistics 18 (3), 338-357, 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
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
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
Applied Bayesian forecasting and time series analysis
A Pole, M West, J Harrison
Chapman and Hall/CRC, 2018
Time series: Modeling, Computation, and Inference
R Prado, MAR Ferreira, M West
CRC press, 2021
Approximating posterior distributions by mixtures
M West
Journal of the Royal Statistical Society: Series B (Methodological) 55 (2…, 1993
Bayesian inference on network traffic using link count data
C Tebaldi, M West
Journal of the American Statistical Association 93 (442), 557-573, 1998
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
On scale mixtures of normal distributions
M West
Biometrika 74 (3), 646-648, 1987
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