Biips: Software for Bayesian Inference with Interacting Particle Systems
TODESCHINI, Adrien
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
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Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
TODESCHINI, Adrien
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
< Leer menos
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Idioma
en
Document de travail - Pré-publication
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Orígen
Importado de HalCentros de investigación