A note on selecting parametric models in Bayesian inference

DOI10.1214/AOS/1176346521zbMath0544.62049OpenAlexW1965943369MaRDI QIDQ796931

William S. Krasker

Publication date: 1984

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176346521

zbMATH Keywords

weak convergencemodel selectionparametric modelsapproximation of priors

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Nonparametric inference (62G99)

Related Items (1)

Approximating priors by finite mixtures of conjugate distributions for an exponential family

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