A MCMC algorithm to fit a general exchangeable model

DOI10.1080/03610919608813331zbMath0937.62569OpenAlexW1984125134MaRDI QIDQ4337281

Jim Albert

Publication date: 13 June 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919608813331

zbMATH Keywords

logistic modelGibbs samplerhierarchical modelMetropolis algorithmoutput analysis

Mathematics Subject Classification ID

Bayesian inference (62F15)

Related Items (1)

Inference for Mixtures

Uses Software

• Matlab

Cites Work

• Inference from iterative simulation using multiple sequences
• Sampling-Based Approaches to Calculating Marginal Densities
• Applications of a Method for the Efficient Computation of Posterior Distributions
• Bayesian Inference in Econometric Models Using Monte Carlo Integration
• Adaptive Rejection Sampling for Gibbs Sampling
• Bayesian Inference for Generalized Linear and Proportional Hazards Models via Gibbs Sampling

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