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

DOI10.1016/S0167-7152(01)00205-XzbMath1026.62021MaRDI QIDQ1873083

Antonio Lijoi

Publication date: 19 May 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

large deviationsgamma distributions

Mathematics Subject Classification ID

Bayesian inference (62F15) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items

Lipschitz continuity of probability kernels in the optimal transport framework ⋮ Inference on exponential families with mixture of prior distributions ⋮ Merging experts' opinions: a Bayesian hierarchical model with mixture of prior distributions

Cites Work

• A note on selecting parametric models in Bayesian inference
• Stable decision problems
• Conjugate priors for exponential families
• Approximation of laws of multinomial parameters by mixtures of Dirichlet distributions with applications to Bayesian inference
• Approximation of Laws of Random Probabilities by Mixtures of Dirichlet Distributions with Applications to Nonparametric Bayesian Inference
• Robust Statistics
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item