226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR37 papers
- Université de LilleFR33 papers
- Centre National de la Recherche ScientifiqueFR26 papers
- Centre de Recherche en InformatiqueFR16 papers
- École Centrale de LilleFR13 papers
- Télécom LilleFR10 papers
- Institut Mines-TélécomFR8 papers
- Universidad Carlos III de MadridES5 papers
- University of FlorenceIT5 papers
- Stony Brook UniversityUS4 papers
- Universidad Rey Juan CarlosES4 papers
- Universitat de ValènciaES4 papers
Showing 2016Show all
2 papers · 1 filter
stat.CO2016★ 34 cited
The Recycling Gibbs Sampler for Efficient Learning
Luca Martino, Victor Elvira, Gustau Camps-Valls
Monte Carlo methods are essential tools for Bayesian inference. Gibbs sampling is a well-known Markov chain Monte Carlo (MCMC) algorithm, extensively used in signal processing, mac…
stat.CO2016★ 23 cited
Independent Resampling Sequential Monte Carlo Algorithms
Roland Lamberti, Yohan Petetin, François Desbouvries +1
Sequential Monte Carlo algorithms, or Particle Filters, are Bayesian filtering algorithms which propagate in time a discrete and random approximation of the a posteriori distributi…