Single-parameter inference based on partial prior information

DOI10.2307/3315187zbMath0629.62006OpenAlexW2081424182MaRDI QIDQ3766631

George T. Duncan, Diane Lambert

Publication date: 1986

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315187

zbMATH Keywords

predictionminimaxDirichlet processBayes estimatescontinuous Dirichlet parameterdata-dependent probability domainspartial prior specificationsubjective probability elicitationupdating of a partial prior

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Foundations and philosophical topics in statistics (62A01)

Related Items

Exact and efficient inference for partial Bayes problems, Robust Bayesian analysis: sensitivity to the prior

Uses Software

• elicit-normlin

Cites Work

• Unnamed Item
• Learning and decision making when subjective probabilities have subjective domains
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• A Bayesian analysis of some nonparametric problems
• Stringent Solutions to Statistical Decision Problems
• How to Estimate Probabilities
• On Partial a Priori Information in Statistical Inference