Galin L. Jones

Statistics and Probability · 2001–2015

A researcher in the Science corpus: 12 papers; trusts 38 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 107 citations into it; #719 of 12,932 by trust here, #574 by citations
• Artificial Intelligence — 65 citations into it; #4,533 of 35,345 by trust here, #5,252 by citations
• Probabilistic & Bayesian Methods — 42 citations into it; #980 of 1,525 by trust here, #558 by citations
• Mathematical Physics — 35 citations into it; #4,497 of 8,562 by trust here, #1,097 by citations
• Computational Theory and Mathematics — 9 citations into it
• Statistical Learning Theory — 8 citations into it
• Molecular Biology — 5 citations into it

Whom Galin L. Jones trusts overall

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

1. James P. Hobert
2. Gareth O. Roberts
3. S. Jarner
4. Gersende Fort
5. Richard C. Bradley
6. Sean P. Meyn
7. Richard L. Tweedie
8. Jeffrey S. Rosenthal
9. Kerrie L. Mengersen
10. Dobrin Marchev

Who trusts Galin L. Jones overall

1. Dootika Vats
2. James M. Flegal
3. Nathan Kallus
4. Kshitij Khare
5. Persi Diaconis
6. James P. Hobert
7. Jeffrey S. Rosenthal
8. Radford M. Neal
9. Murali Haran
10. Lei Gong

Papers from Galin L. Jones's perspective

Ordered by how strongly the researchers Galin L. Jones trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov Chains and Stochastic Stability
2. Rates of convergence of the Hastings and Metropolis algorithms
3. Geometric ergodicity of Metropolis algorithms
4. Monte Carlo Statistical Methods
5. Polynomial ergodicity of Markov transition kernels
6. Corrigendum to : Bounds on regeneration times and convergence rates for Markov chains
7. Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo
8. REPRESENTATIONS OF KNOWLEDGE IN COMPLEX SYSTEMS
9. ANALYSIS OF A NONREVERSIBLE MARKOV CHAIN SAMPLER
10. Monte Carlo strategies in scientific computing

Their papers

• Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo (2001) — 335 citations
• On the applicability of regenerative simulation in Markov chain Monte Carlo (2002) — 139 citations
• Sufficient burn-in for Gibbs samplers for a hierarchical random effects model (2004) — 117 citations
• On the Markov chain central limit theorem (2004) — 468 citations
• Multivariate output analysis for Markov chain Monte Carlo (2015) — 304 citations
• Markov chain Monte Carlo: Can we trust the third significant figure? (2007) — 377 citations
• Fixed-Width Output Analysis for Markov Chain Monte Carlo (2006) — 363 citations
• Batch means and spectral variance estimators in Markov chain Monte Carlo (2008) — 271 citations
• Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417 (2012) — 1,845 citations
• Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo (2015) — 51 citations
• Component-Wise Markov Chain Monte Carlo: Uniform and Geometric Ergodicity under Mixing and Composition (2009) — 73 citations
• An Introduction to Markov Chain Monte Carlo (2010) — 325 citations