John A. Thoms

Statistics and Probability · 2008

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #861 of 12,932 by trust here, #2,531 by citations
• Artificial Intelligence — 11 citations into it; #3,293 of 35,345 by trust here, #12,083 by citations
• Mathematical Physics — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it; #239 of 1,525 by trust here, #581 by citations

Whom John A. Thoms trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Gareth O. Roberts
2. Heikki Haario
3. Peter J. Green
4. Eero Saksman
5. Sam T. Roweis
6. Jeffrey S. Rosenthal
7. Christophe Andrieu
8. Bernard Delyon
9. Paolo Giordani
10. Albert Benveniste

Who trusts John A. Thoms overall

1. Mark A. Girolami
2. Radford M. Neal
3. Simo Särkkä
4. Peter J. Green
5. Matthew D. Hoffman
6. Heiko Strathmann
7. Dino Sejdinovic
8. Paul Fearnhead
9. Christophe Andrieu
10. Gwonsoo Che

Papers from John A. Thoms's perspective

Ordered by how strongly the researchers John A. Thoms trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the ergodicity properties of some adaptive MCMC algorithms
2. On adaptive Markov chain Monte Carlo algorithms
3. An adaptive Metropolis algorithm
4. Adaptive proposal distribution for random walk Metropolis algorithm
5. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
6. Weak convergence and optimal scaling of random walk Metropolis algorithms
7. Optimal scaling of discrete approximations to Langevin diffusions
8. Examples of Adaptive MCMC
9. Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms
10. On the ergodicity of the adaptive Metropolis algorithm on unbounded domains

Their papers

• A tutorial on adaptive MCMC (2008) — 1,025 citations