Semi-analytic approximate stability selection for correlated data in generalized linear models

Journal of Statistical Mechanics Theory and Experiment ◽

10.1088/1742-5468/ababff ◽

2020 ◽

Vol 2020 (9) ◽

pp. 093402

Author(s):

Takashi Takahashi ◽

Yoshiyuki Kabashima

Keyword(s):

Generalized Linear Models ◽

Linear Models ◽

Correlated Data ◽

Stability 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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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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Estimation of regression parameters in generalized linear models for cluster correlated data with measurement error

Canadian Journal of Statistics ◽

10.2307/3315624 ◽

1996 ◽

Vol 24 (2) ◽

pp. 177-192 ◽

Author(s):

B.C. Sutradhar ◽

J.N.K. Rao

Keyword(s):

Measurement Error ◽

Generalized Linear Models ◽

Linear Models ◽

Correlated Data ◽

Regression Parameters

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Bayesian model selection for generalized linear models using non-local priors

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2018.10.007 ◽

2019 ◽

Vol 133 ◽

pp. 285-296 ◽

Author(s):

Guiling Shi ◽

Chae Young Lim ◽

Tapabrata Maiti

Keyword(s):

Model Selection ◽

Generalized Linear Models ◽

Bayesian Model ◽

Linear Models ◽

Bayesian Model Selection ◽

Non Local ◽

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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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‘Model selection for generalized linear models with factor-augmented predictors’

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.783 ◽

2009 ◽

Vol 25 (3) ◽

pp. 243-246

Author(s):

T. Ando ◽

R. S. Tsay

Keyword(s):

Model Selection ◽

Generalized Linear Models ◽

Linear Models ◽

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Model selection for generalized linear models with factor-augmented predictors

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.785 ◽

2009 ◽

Vol 25 (3) ◽

pp. 207-235 ◽

Author(s):

Tomohiro Ando ◽

Ruey S. Tsay

Keyword(s):

Model Selection ◽

Generalized Linear Models ◽

Linear Models ◽

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Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data

10.1093/biomet/77.3.485 ◽

1990 ◽

Vol 77 (3) ◽

pp. 485-497 ◽

Author(s):

ANDREA ROTNITZKY ◽

NICHOLAS P. JEWELL

Keyword(s):

Hypothesis Testing ◽

Generalized Linear Models ◽

Linear Models ◽

Correlated Data ◽

Regression Parameters

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Post Lasso Stability Selection for High Dimensional Linear Models

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods ◽

10.5220/0006244306380646 ◽

2017 ◽

Author(s):

Niharika Gauraha ◽

Tatyana Pavlenko ◽

Swapan k. Parui

Keyword(s):

Linear Models ◽

High Dimensional ◽

Stability Selection ◽

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