Nick Whiteley
Probabilistic & Bayesian Methods · 2013–2017
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
- Probabilistic & Bayesian Methods — 18 citations into it; #1,275 of 1,525 by trust here, #1,274 by citations
- Artificial Intelligence — 17 citations into it; #26,770 of 35,345 by trust here, #28,481 by citations
- Statistics and Probability — 15 citations into it
Whom Nick Whiteley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pierre Del Moral
- Arnaud Doucet
- Christophe Andrieu
- Michael K. Pitt
- Neil J. Gordon
- Nicolas Chopin
- N. Shephard
- Qi-Man Shao
- Jun S. Liu
- Radford M. Neal
Who trusts Nick Whiteley overall
Papers from Nick Whiteley's perspective
Ordered by how strongly the researchers Nick Whiteley trusts endorse each paper. Same corpus, a different order for every researcher.
- Improved particle filter for nonlinear problems
- Annealed importance sampling
- On sequential Monte Carlo sampling methods for Bayesian filtering
- Particle Markov chain Monte Carlo methods
- Feynman-Kac Formulae: Genealogical and Interacting Particle Systems with Applications
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Sequential Monte Carlo methods for dynamic systems
- Optimal scaling of discrete approximations to Langevin diffusions
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- Comparison of resampling schemes for particle filtering
Their papers
- On the role of interaction in sequential Monte Carlo algorithms (2013) — 70 citations
- Negative association, ordering and convergence of resampling methods (2017) — 78 citations
- ‘Variance estimation in the particle filter’ (2015) — 48 citations
- Error Bounds and Normalising Constants for Sequential Monte Carlo Samplers in High Dimensions (2014) — 49 citations