Modelling binary data: a gibbs sampling approach
From MaRDI portal
Publication:4719463
DOI10.1080/00949659908811967zbMath1078.65525OpenAlexW1980103575MaRDI QIDQ4719463
Publication date: 1999
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949659908811967
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sampling-Based Approaches to Calculating Marginal Densities
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Bayesian residual analysis for binary response regression models
- Bayesian computational methods
- Analysis of multivariate probit models
- Adaptive Rejection Metropolis Sampling within Gibbs Sampling
- Adaptive Rejection Sampling for Gibbs Sampling
- Monte Carlo sampling methods using Markov chains and their applications
This page was built for publication: Modelling binary data: a gibbs sampling approach