Mike West

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Holly K. DressmanResearch Professor, Duke Department of Molecular Genetics and MicrobiologyVerified email at duke.edu
David HeckermanMicrosoft ResearchVerified email at microsoft.com
Jeffrey R. MarksDuke UniversityVerified email at mc.duke.edu
James BergerProfessor of Statistics, Duke UniversityVerified email at stat.duke.edu
Quanli WangAstraZenecaVerified email at astrazeneca.com
Erich S. Huang, MD, PhDDuke University School of Medicine & Duke HealthVerified email at duke.edu
Carlos M. CarvalhoThe University of Texas at AustinVerified email at mccombs.utexas.edu
Adrian DobraProfessor of Statistics, University of WashingtonVerified email at uw.edu
Edwin S Iversen JrResearch Professor of Statistical Science, Duke UniversityVerified email at stat.duke.edu
Michael EscobarProfessor, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, CanadaVerified email at utoronto.ca
Rainer SpangUniversity of RegensburgVerified email at ur.de
Guang YaoWisconsin, Duke, ArizonaVerified email at arizona.edu
Christopher HansAssociate Professor of Statistics, The Ohio State UniversityVerified email at stat.osu.edu
Jeffrey T. ChangAssociate Professor of Integrative Biology & Pharmacology, University of Texas Health Science CenterVerified email at uth.tmc.edu
Beatrix JonesAssociate Professor, Statistics, University of AucklandVerified email at auckland.ac.nz
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Jouchi NakajimaBank of JapanVerified email at boj.or.jp
Arnaud DoucetProfessor of Statistics, University of Oxford & Senior Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Andrew Cron84.51°Verified email at 8451.com
Marco A. R. FerreiraAssociate Professor of Statistics, Virginia TechVerified email at vt.edu

Mike West

Duke University

Verified email at nc.rr.com - Homepage

Bayesian statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian forecasting and dynamic models M West, J Harrison Springer Science & Business Media, 2006	4752	2006
Bayesian density estimation and inference using mixtures MD Escobar, M West Journal of the american statistical association 90 (430), 577-588, 1995	3009	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	2279	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	1718	2001
Combined parameter and state estimation in simulation-based filtering J Liu, M West Sequential Monte Carlo methods in practice, 197-223, 2001	1224	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	813	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	807	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	730	2003
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	711	2001
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	706	2006
Bayesian dynamic factor models and portfolio allocation O Aguilar, M West Journal of Business & Economic Statistics 18 (3), 338-357, 2000	689	2000
Monte Carlo smoothing for nonlinear time series SJ Godsill, A Doucet, M West Journal of the american statistical association 99 (465), 156-168, 2004	677	2004
The elements of statistical learning. Springer series in statistics T Hastie, R Tibshirani, J Friedman New York, NY, USA, 2001	628	2001
The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, ... Bayesian statistics 7 (453-464), 210, 2003	612	2003
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	586	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	579	2004
Applied Bayesian forecasting and time series analysis A Pole, M West, J Harrison CRC press, 1994	537	1994
Time series: Modeling, Computation, and Inference R Prado, MAR Ferreira, M West CRC press, 2021	483	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	473	1998
Approximating posterior distributions by mixtures M West Journal of the Royal Statistical Society: Series B (Methodological) 55 (2 …, 1993	468	1993

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