Variations of power-expected-posterior priors in normal regression models

Dimitris Fouskakis; Ioannis Ntzoufras; Konstantinos Perrakis

doi:10.1016/j.csda.2019.106836

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Variations of power-expected-posterior priors in normal regression models

Dimitris Fouskakis Ioannis Ntzoufras Konstantinos Perrakis

Year: 2019 Journal: Computational Statistics & Data Analysis Vol: 143 Pages: 106836-106836 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2019.106836

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Keywords:

Prior probability Consistency (knowledge bases) Model selection Range (aeronautics) Mathematics Context (archaeology) Econometrics Information Criteria Inference Linear model Statistics Posterior probability Selection (genetic algorithm) Linear regression Multivariate normal distribution Generalized linear model Gaussian Computer science Multivariate statistics Bayesian probability Artificial intelligence

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Variations of power-expected-posterior priors in normal regression models

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