R. Reeves
Statistics and Probability · with Pettitt · 2004–2006
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it; #5,525 of 12,932 by trust here, #5,126 by citations
- Applied Mathematics — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom R. Reeves trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barry C. Arnold
- Andrew Gelman
- Julian Besag
- E. C. Ron
- J. M. S. Alegría
- James Gary Propp
- Wilfrid S. Kendall
Who trusts R. Reeves overall
- Nial Friel
- Jesper Møller
- Anthony N. Pettitt
- Radford M. Neal
- Richard Geoffrey Everitt
- Thomas J. Leininger
- Yanbing Zheng
- Peter J. Green
Papers from R. Reeves's perspective
Ordered by how strongly the researchers R. Reeves trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical Analysis of Non-Lattice Data
- Exact sampling with coupled Markov chains and applications to statistical mechanics
- A model for clustering
- Bayesian Data Analysis (Technometrics)
- Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
- Markov Point Processes
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Filtering via Simulation: Auxiliary Particle Filters
- Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes (Advances in Applied Probability)
- Optimal scaling of discrete approximations to Langevin diffusions
Their papers
- An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants (2006) — 410 citations
- Efficient recursions for general factorisable models (2004) — 76 citations