Posterior model consistency in high-dimensional Bayesian variable selection with arbitrary priors

Min Hua; Gyuhyeong Goh

doi:10.1016/j.spl.2025.110415

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Posterior model consistency in high-dimensional Bayesian variable selection with arbitrary priors

Min Hua Gyuhyeong Goh

Year: 2025 Journal: Statistics & Probability Letters Vol: 223 Pages: 110415-110415 Publisher: Elsevier BV

DOI: 10.1016/j.spl.2025.110415

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Keywords:

Prior probability Mathematics Consistency (knowledge bases) Bayesian probability Posterior probability Selection (genetic algorithm) Statistics Variable (mathematics) Model selection Applied mathematics Econometrics Artificial intelligence Computer science Discrete mathematics Mathematical analysis

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Posterior model consistency in high-dimensional Bayesian variable selection with arbitrary priors

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