Bayesian model selection in theM-open setting — Approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator-Reference-Cited by-同舟云学术

Bayesian model selection in theM-open setting — Approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator

Published:2021-02 Issue: Volume:100 Page:102474
ISSN:0022-2496
Container-title:Journal of Mathematical Psychology
language:en
Short-container-title:Journal of Mathematical Psychology

Author:

Kelter Riko^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,General Psychology

Reference98 articles.

1. Big data in psychology: A framework for research advancement;Adjerid;American Psychologist,2018

2. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

3. Laplace’s method approximations for probabilistic inference in belief networks with continuous variables;Azevedo-Filho,1994

4. Optimal predictive model selection;Barbieri;The Annals of Statistics,2004

5. Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses;Bayarri;Journal of Mathematical Psychology,2016

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensemble learning for impurity prediction in high-purity indium purified via vertical zone refining;Intelligent Systems with Applications;2024-06

2. Forecaster evaluation as model comparison.;Decision;2024-05-16

3. The impact of acute violent videogame exposure on neurocognitive markers of empathic concern;Social Cognitive and Affective Neuroscience;2024

4. A novel method for petroleum and natural gas resource potential evaluation and prediction by support vector machines (SVM);Applied Energy;2023-12

5. Application of machine learning for evaluating and predicting fault seals: A case study in the Huimin depression, Bohai Bay Basin, Eastern China;Geoenergy Science and Engineering;2023-09