Walter R. Gilks
Probabilistic & Bayesian Methods · 1995–2005
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 67 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 14 citations into it; #730 of 1,525 by trust here, #454 by citations
- Statistics and Probability — 6 citations into it; #7,855 of 12,932 by trust here, #3,703 by citations
Whom Walter R. Gilks trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan E. Gelfand
- Julian Besag
- Adrian F. M. Smith
- Peter J. Green
- Andrew Gelman
- Stuart Geman
- Donald B. Rubin
Who trusts Walter R. Gilks overall
- Arnaud Doucet
- Nicolas Chopin
- Michael Dowd
- Christophe Andrieu
- Radford M. Neal
- Pierre Del Moral
- Dieter Fox
- Gareth O. Roberts
- P. de Valpine
- R. Millar
Papers from Walter R. Gilks's perspective
Ordered by how strongly the researchers Walter R. Gilks trusts endorse each paper. Same corpus, a different order for every researcher.
- Sampling-Based Approaches to Calculating Marginal Densities
- Bayesian Model Choice: Asymptotics and Exact Calculations
- Inference from Iterative Simulation Using Multiple Sequences
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian measures of model complexity and fit
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
- Metropolis Methods, Gaussian Proposals and Antithetic Variables
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Estimating normal means with a conjugate style dirichlet process prior
Their papers
- Following a moving target—Monte Carlo inference for dynamic Bayesian models (2001) — 865 citations
- Markov Chain Monte Carlo (2005) — 635 citations
- Markov Chain Monte Carlo in Practice (1997)
- Weak convergence and optimal scaling of random walk Metropolis algorithms (1997)
- BUGS - Bayesian inference Using Gibbs Sampling Version 0.50 (1995)
- Adaptive Rejection Metropolis Sampling Within Gibbs Sampling (1995)