Properties of the bridge sampler with a focus on splitting the MCMC sample
From MaRDI portal
Publication:2195825
DOI10.1007/s11222-019-09918-5zbMath1447.62014OpenAlexW3000642684MaRDI QIDQ2195825
Jonathan J. Forster, Jackie S. T. Wong, Peter W. F. Smith
Publication date: 27 August 2020
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: http://repository.essex.ac.uk/26708/1/stat_comp_bridge_sampling_main.pdf
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian mortality forecasting with overdispersion
- A tutorial on bridge sampling
- Calibrated path sampling and stepwise bridge sampling
- Monte Carlo methods in Bayesian computation
- Default Bayesian model determination methods for generalised linear mixed models
- Marginal Likelihood from the Gibbs Output
- Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques*
- Sequential Imputations and Bayesian Missing Data Problems
- Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge Sampling
- A Theory of Statistical Models for Monte Carlo Integration
- Bayesian Inference in Econometric Models Using Monte Carlo Integration
- Bayes Factors
- Efficient Bayes factor estimation from the reversible jump output
- On Information and Sufficiency
- Simulating normalizing constants: From importance sampling to bridge sampling to path sampling