Benjamin M. Taylor

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #18,167 of 35,345 by trust here, #33,294 by citations
• Statistics and Probability — 16 citations into it; #6,566 of 12,932 by trust here, #11,487 by citations
• Probabilistic & Bayesian Methods — 10 citations into it

Whom Benjamin M. Taylor trusts overall

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

1. Gareth O. Roberts
2. Nicolas Chopin
3. Radford M. Neal
4. Matthew Stephens
5. Geir Storvik
6. Sylvia Frühwirth-Schnatter
7. Jeffrey S. Rosenthal
8. Walter R. Gilks
9. Jun S. Liu
10. Christophe Andrieu

Who trusts Benjamin M. Taylor overall

1. Yan Zhou
2. Ingmar Schuster

Papers from Benjamin M. Taylor's perspective

Ordered by how strongly the researchers Benjamin M. Taylor trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sequential Monte Carlo methods for dynamic systems
2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
3. On adaptive Markov chain Monte Carlo algorithms
4. Optimal scaling for various Metropolis-Hastings algorithms
5. Improved particle filter for nonlinear problems
6. Following a moving target—Monte Carlo inference for dynamic Bayesian models
7. A tutorial on adaptive MCMC
8. An adaptive Metropolis algorithm
9. A sequential particle filter method for static models
10. Annealed importance sampling

Their papers

• An Adaptive Sequential Monte Carlo Sampler (2010) — 85 citations