John O'Leary

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 36 citations into it
• Artificial Intelligence — 20 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Mathematical Physics — 9 citations into it

Whom John O'Leary trusts overall

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

1. Radford M. Neal
2. Gareth O. Roberts
3. Persi Diaconis
4. Hermann Thorisson
5. Peter D. Hoff
6. M. Giles
7. Jeffrey S. Rosenthal
8. Stuart Geman
9. Christophe Andrieu
10. Yaming Yu

Papers from John O'Leary's perspective

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

1. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
3. Markov Chains and Stochastic Stability
4. Optimal scaling for various Metropolis-Hastings algorithms
5. MCMC Using Hamiltonian Dynamics
6. Stability of the Gibbs sampler for Bayesian hierarchical models
7. General state space Markov chains and MCMC algorithms
8. Lectures on the Coupling Method
9. Particle Markov chain Monte Carlo methods
10. Coupling, stationarity, and regeneration

Their papers

• Unbiased Markov chain Monte Carlo methods with couplings (2020) — 147 citations