Anthony Lee
Artificial Intelligence · with Whiteley · 2009–2015
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #26,767 of 35,345 by trust here, #26,682 by citations
- Probabilistic & Bayesian Methods — 16 citations into it; #1,274 of 1,525 by trust here, #1,274 by citations
- Statistics and Probability — 14 citations into it
Whom Anthony Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pierre Del Moral
- Christophe Andrieu
- Arnaud Doucet
- Radford M. Neal
- Jun S. Liu
- Gareth O. Roberts
- Michael K. Pitt
- Jane Liu
- Neil J. Gordon
- Pierre L'Ecuyer
Who trusts Anthony Lee overall
- Chris J. Oates
- Yan Zhou
- Alexandros Beskos
- Brooks Paige
- Adrien Todeschini
- Lawrence M. Murray
- Jan-Willem van de Meent
- Peter J. Green
- Nial Friel
- Adam M. Johansen
Papers from Anthony Lee's perspective
Ordered by how strongly the researchers Anthony Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Monte Carlo strategies in scientific computing
- Improved particle filter for nonlinear problems
- Monte Carlo Statistical Methods
- Feynman-Kac Formulae: Genealogical and Interacting Particle Systems with Applications
- Annealed importance sampling
- Particle Markov chain Monte Carlo methods
- Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms
- The pseudo-marginal approach for efficient Monte Carlo computations
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms
Their papers
- On the role of interaction in sequential Monte Carlo algorithms (2013) — 70 citations
- ‘Variance estimation in the particle filter’ (2015) — 48 citations
- Uniform ergodicity of the iterated conditional SMC and geometric ergodicity of particle Gibbs samplers (2013) — 94 citations
- On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods (2009) — 326 citations