Bayesian variable selection for proportional hazards models

Canadian Journal of Statistics ◽

10.2307/3316126 ◽

1999 ◽

Vol 27 (4) ◽

pp. 701-717 ◽

Author(s):

Joseph G. Ibrahim ◽

Ming-Hui Chen ◽

Steven N. MacEachern

Keyword(s):

Variable Selection ◽

Proportional Hazards ◽

Bayesian Variable Selection ◽

Proportional Hazards Models ◽

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Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error

Canadian Journal of Statistics ◽

10.1002/cjs.11568 ◽

2020 ◽

Author(s):

Baojiang Chen ◽

Ao Yuan ◽

Grace Y. Yi

Keyword(s):

Measurement Error ◽

Variable Selection ◽

Proportional Hazards ◽

High Dimensional ◽

Proportional Hazards Models ◽

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Bayesian variable selection for Poisson regression with underreported responses

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2010.04.003 ◽

2010 ◽

Vol 54 (12) ◽

pp. 3289-3299 ◽

Author(s):

Stephanie Powers ◽

Richard Gerlach ◽

James Stamey

Keyword(s):

Variable Selection ◽

Poisson Regression ◽

Bayesian Variable Selection ◽

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Corrigendum: Bayesian variable selection for longitudinal substance abuse treatment data subject to informative censoring

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/j.1467-9876.2007.00611.x ◽

2008 ◽

Vol 57 (2) ◽

pp. 251-252

Author(s):

Susan M. Paddock

Keyword(s):

Substance Abuse ◽

Variable Selection ◽

Substance Abuse Treatment ◽

Bayesian Variable Selection ◽

Informative Censoring ◽

Treatment Data ◽

Selection For ◽

Abuse Treatment ◽

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Chapter 4 - Bayesian Variable Selection for Nowcasting Economic Time Series / Steven L. Scott and Hal R. Varian

Economic Analysis of the Digital Economy ◽

10.7208/chicago/9780226206981.003.0004 ◽

2015 ◽

pp. 119-136 ◽

Author(s):

Steven L. Scott ◽

Hal R. Varian

Keyword(s):

Time Series ◽

Variable Selection ◽

Bayesian Variable Selection ◽

Economic Time Series ◽

Economic Time ◽

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Bayesian variable selection for multioutcome models through shared shrinkage

Scandinavian Journal of Statistics ◽

10.1111/sjos.12455 ◽

2020 ◽

Author(s):

Debamita Kundu ◽

Riten Mitra ◽

Jeremy T. Gaskins

Keyword(s):

Variable Selection ◽

Bayesian Variable Selection ◽

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Bayesian variable selection for correlated covariates via colored cliques

AStA Advances in Statistical Analysis ◽

10.1007/s10182-013-0218-9 ◽

2013 ◽

Vol 98 (2) ◽

pp. 143-163

Author(s):

Stefano Monni

Keyword(s):

Variable Selection ◽

Bayesian Variable Selection ◽

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Bayesian variable selection for high dimensional generalized linear models: Convergence rates of the fitted densities

The Annals of Statistics ◽

10.1214/009053607000000019 ◽

2007 ◽

Vol 35 (4) ◽

pp. 1487-1511 ◽

Author(s):

Wenxin Jiang

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Convergence Rates ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers

Neurocomputing ◽

10.1016/j.neucom.2010.04.014 ◽

2010 ◽

Vol 73 (13-15) ◽

pp. 2718-2726 ◽

Author(s):

Tao Chen ◽

Bo Wang

Keyword(s):

Variable Selection ◽

Gaussian Process ◽

Gaussian Process Regression ◽

Bayesian Variable Selection ◽

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Sparse Bayesian variable selection for classifying high-dimensional data

Statistics and Its Interface ◽

10.4310/sii.2018.v11.n2.a14 ◽

2018 ◽

Vol 11 (2) ◽

pp. 385-395 ◽

Author(s):

Aijun Yang ◽

Heng Lian ◽

Xuejun Jiang ◽

Pengfei Liu

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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Bayesian variable selection for the analysis of microarray data with censored outcomes

Bioinformatics ◽

10.1093/bioinformatics/btl362 ◽

2006 ◽

Vol 22 (18) ◽

pp. 2262-2268 ◽

Author(s):

N. Sha ◽

M. G. Tadesse ◽

M. Vannucci

Keyword(s):

Variable Selection ◽

Microarray Data ◽

Bayesian Variable Selection ◽

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