Roman Holenstein
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 69 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #3,202 of 35,345 by trust here, #9,275 by citations
- Statistics and Probability — 24 citations into it; #849 of 12,932 by trust here, #1,688 by citations
- Probabilistic & Bayesian Methods — 14 citations into it; #234 of 1,525 by trust here, #424 by citations
Whom Roman Holenstein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gareth O. Roberts
- MARK A. Beaumont
- Geir Storvik
- Haikady N. Nagaraja
- Christophe Andrieu
- N. Shephard
- Ole E. Barndorff-Nielsen
- Michael K. Pitt
- Walter R. Gilks
- Kerrie L. Mengersen
Who trusts Roman Holenstein overall
- Tom Rainforth
- Lawrence M. Murray
- Rémi Bardenet
- Nicolas Chopin
- Fredrik Lindsten
- Brooks Paige
- Arnaud Doucet
- Frank D. Wood
- Christophe Andrieu
- Mathieu Gerber
Papers from Roman Holenstein's perspective
Ordered by how strongly the researchers Roman Holenstein trusts endorse each paper. Same corpus, a different order for every researcher.
- Filtering via Simulation: Auxiliary Particle Filters
- Improved particle filter for nonlinear problems
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- The pseudo-marginal approach for efficient Monte Carlo computations
- Non‐Gaussian Ornstein–Uhlenbeck‐based models and some of their uses in financial economics
- Estimation of population growth or decline in genetically monitored populations.
- Feynman-Kac Formulae: Genealogical and Interacting Particle Systems with Applications
- A sequential particle filter method for static models
- A tutorial on adaptive MCMC
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later
Their papers
- Particle Markov chain Monte Carlo methods (2010) — 2,191 citations