Handbook of Markov Chain Monte Carlo
Edited by Steve Brooks, Andrew Gelman, Galin L. Jones and Xiao-Li Meng
Published
by Chapman &
Hall/CRC.
Sample Chapters
- Introduction to MCMC
by Charles Geyer.
- Inference and Monitoring Convergence by Andrew
Gelman and Kenneth
Shirley
- MCMC Using Hamiltonian Dynamics by
Radford Neal.
- Posterior exploration for computationally intensive forward
models by Dave
Higdon, C. Shane
Reese, David
Moulton, Jasper
Vrugt
and Colin
Fox.
- Parallel Bayesian MCMC Imputation for Multiple Distributed Lag Models: A Case Study in Environmental Epidemiology by Brian Caffo, Roger Peng, Francesca Dominici, Thomas Louis and Scott Zeger.
