Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Biips: Software for Bayesian Inference with Interacting Particle Systems

Abstract : Biips is a software platform for automatic Bayesian inference with interacting particle systems. Biips allows users to define their statistical model in the probabilistic programming BUGS language, as well as to add custom functions or samplers within this language. Then it runs sequential Monte Carlo based algorithms (particle filters, particle independent Metropolis-Hastings, particle marginal Metropolis-Hastings) in a black-box manner so that to approximate the posterior distribution of interest as well as the marginal likelihood. The software is developed in C++ with interfaces with the softwares R, Matlab and Octave.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [61 references]  Display  Hide  Download
Contributor : Adrien Todeschini Connect in order to contact the contributor
Submitted on : Friday, December 19, 2014 - 3:17:51 PM
Last modification on : Saturday, December 4, 2021 - 3:43:02 AM
Long-term archiving on: : Monday, March 23, 2015 - 2:27:37 PM


Files produced by the author(s)


  • HAL Id : hal-01096065, version 1
  • ARXIV : 1412.3779



Adrien Todeschini, Francois Caron, Marc Fuentes, Pierrick Legrand, Pierre del Moral. Biips: Software for Bayesian Inference with Interacting Particle Systems. 2014. ⟨hal-01096065⟩



Les métriques sont temporairement indisponibles