Variational inferences for partially linear additive models with variable selection

Kaifeng Zhao; Heng Lian

doi:10.1016/j.csda.2014.07.003

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Variational inferences for partially linear additive models with variable selection

Kaifeng Zhao Heng Lian

Year: 2014 Journal: Computational Statistics & Data Analysis Vol: 80 Pages: 223-239 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2014.07.003

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Keywords:

Laplace's method Markov chain Monte Carlo Monte Carlo method Mathematics Algorithm Applied mathematics Mathematical optimization Feature selection Nonlinear system Bayes' theorem Model selection Bayesian inference Computer science Bayesian probability Artificial intelligence Statistics

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Gaussian Processes and Bayesian Inference

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Variational inferences for partially linear additive models with variable selection

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