Imprecise conjugate prior densities for the one-parameter exponential family of distributions

DOI10.1016/0167-7152(93)90066-RzbMath0825.62336MaRDI QIDQ1210123

S. Singh

Publication date: 16 May 1993

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Mathematics Subject Classification ID

Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (5)

An overview of robust Bayesian analysis. (With discussion) ⋮ Bayesian learning for a class of priors with prescribed marginals ⋮ Imprecision and prior-data conflict in generalized Bayesian inference ⋮ Imprecise conjugate prior densities for the one-parameter exponential family of distributions ⋮ Quasi-Bayesian analysis using imprecise probability assessments and the generalized Bayes' rule

Cites Work

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• Varieties of modal (classificatory) and comparative probability
• Towards a frequentist theory of upper and lower probability
• Imprecise conjugate prior densities for the one-parameter exponential family of distributions
• On using random relations to generate upper and lower probabilities
• Bayes-like Decision Making with Upper and Lower Probabilities
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• New Methods for Reasoning Towards Posterior Distributions Based on Sample Data
• Upper and Lower Probability Inferences for Families of Hypotheses with Monotone Density Ratios

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