Bayesian Variable Selection for Multi-response Linear Regression

Technologies and Applications of Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-13987-6_8 ◽

2014 ◽

pp. 74-88 ◽

Author(s):

Wan-Ping Chen ◽

Ying Nian Wu ◽

Ray-Bin Chen

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Bayesian Variable Selection ◽

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Bayesian variable selection for linear regression in high dimensional microarray data

Proceedings of the 7th international workshop on Data and text mining in biomedical informatics - DTMBIO '13 ◽

10.1145/2512089.2512094 ◽

2013 ◽

Author(s):

Wellington Cabrera ◽

Carlos Ordonez ◽

David Sergio Matusevich ◽

Veerabhadran Baladandayuthapani

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Microarray Data ◽

Bayesian Variable Selection ◽

High Dimensional ◽

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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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Variable selection for linear regression in large databases: exact methods

Applied Intelligence ◽

10.1007/s10489-020-01927-6 ◽

2020 ◽

Author(s):

Joaquín Pacheco ◽

Silvia Casado

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Exact Methods ◽

Large Databases ◽

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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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Estimation and variable selection for partial functional linear regression

AStA Advances in Statistical Analysis ◽

10.1007/s10182-018-00342-0 ◽

2018 ◽

Vol 103 (4) ◽

pp. 475-501

Author(s):

Qingguo Tang ◽

Peng Jin

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Selection For ◽

Functional Linear Regression

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Bayesian Variable Selection in Linear Regression: Comment

Journal of the American Statistical Association ◽

10.2307/2290130 ◽

1988 ◽

Vol 83 (404) ◽

pp. 1033 ◽

Author(s):

James Berger

Keyword(s):

Linear Regression ◽

Variable Selection ◽

Bayesian Variable Selection

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