Variable selection for multivariate generalized linear models

Journal of Applied Statistics ◽

10.1080/02664763.2013.839640 ◽

2013 ◽

Vol 41 (2) ◽

pp. 393-406 ◽

Author(s):

Xiaoguang Wang ◽

Junhui Fan

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

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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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Instrumental variable based variable selection for generalized linear models with endogenous covariates

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2018.1425445 ◽

2018 ◽

Vol 48 (6) ◽

pp. 1891-1900

Author(s):

Jiting Huang ◽

Peixin Zhao

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Instrumental Variable ◽

Linear Models ◽

Selection For ◽

Endogenous Covariates

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Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts

Annals of the Institute of Statistical Mathematics ◽

10.1007/s10463-020-00761-4 ◽

2020 ◽

Author(s):

Lei Wang ◽

Wei Ma

Keyword(s):

Variable Selection ◽

Empirical Likelihood ◽

Generalized Linear Models ◽

Linear Models ◽

Likelihood Inference ◽

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Variable selection for high-dimensional generalized linear models with the weighted elastic-net procedure

Journal of Applied Statistics ◽

10.1080/02664763.2015.1078300 ◽

2015 ◽

Vol 43 (5) ◽

pp. 796-809 ◽

Author(s):

Xiuli Wang ◽

Mingqiu Wang

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Elastic Net ◽

High Dimensional ◽

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Variable Selection for Marginal Longitudinal Generalized Linear Models

10.1111/j.1541-0420.2005.00331.x ◽

2005 ◽

Vol 61 (2) ◽

pp. 507-514 ◽

Author(s):

Eva Cantoni ◽

Joanna Mills Flemming ◽

Elvezio Ronchetti

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

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Consistency of hyper-$g$-prior-based Bayesian variable selection for generalized linear models

Brazilian Journal of Probability and Statistics ◽

10.1214/15-bjps299 ◽

2016 ◽

Vol 30 (4) ◽

pp. 691-709 ◽

Author(s):

Ho-Hsiang Wu ◽

Marco A. R. Ferreira ◽

Matthew E. Gompper

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Bayesian Variable Selection ◽

Selection For ◽

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Bayesian Variable Selection for Generalized Linear Models Using the Power-Conditional-Expected-Posterior Prior

Springer Proceedings in Mathematics & Statistics - Bayesian Statistics from Methods to Models and Applications ◽

10.1007/978-3-319-16238-6_6 ◽

2015 ◽

pp. 59-73

Author(s):

Konstantinos Perrakis ◽

Dimitris Fouskakis ◽

Ioannis Ntzoufras

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Bayesian Variable Selection ◽

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Automatic variable selection for longitudinal generalized linear models

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2012.12.015 ◽

2013 ◽

Vol 61 ◽

pp. 174-186 ◽

Author(s):

Gaorong Li ◽

Heng Lian ◽

Sanying Feng ◽

Lixing Zhu

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

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Robust variable selection for generalized linear models with a diverging number of parameters

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2015.1053940 ◽

2016 ◽

Vol 46 (6) ◽

pp. 2967-2981 ◽

Author(s):

Chaohui Guo ◽

Hu Yang ◽

Jing Lv

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

Diverging Number Of Parameters ◽

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Variable selection in high-dimensional double generalized linear models

Statistical Papers ◽

10.1007/s00362-012-0481-y ◽

2012 ◽

Vol 55 (2) ◽

pp. 327-347 ◽

Author(s):

Dengke Xu ◽

Zhongzhan Zhang ◽

Liucang Wu

Keyword(s):

Variable Selection ◽

Generalized Linear Models ◽

Linear Models ◽

High Dimensional

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