A novel variational Bayesian method for variable selection in logistic regression models

Chunxia Zhang; Shuang Xu; Jiang-She Zhang

doi:10.1016/j.csda.2018.08.025

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A novel variational Bayesian method for variable selection in logistic regression models

Chunxia Zhang Shuang Xu Jiang-She Zhang

Year: 2018 Journal: Computational Statistics & Data Analysis Vol: 133 Pages: 1-19 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2018.08.025

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Keywords:

Feature selection Markov chain Monte Carlo Computer science Bayesian inference Latent variable Bayesian probability Machine learning Interpretability Covariate Artificial intelligence Bayesian linear regression Prior probability Hyperparameter Model selection Posterior probability Data mining

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

A novel variational Bayesian method for variable selection in logistic regression models

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