Biips: Software for Bayesian Inference with Interacting Particle Systems

Biips: Software for Bayesian Inference with Interacting Particle Systems

11 December 2014

François Caron

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Papers citing "Biips: Software for Bayesian Inference with Interacting Particle Systems"

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Title
Lazy object copy as a platform for population-based probabilistic programming Lawrence M. Murray 51 5 0 09 Jan 2020
Parameter elimination in particle Gibbs sampling A. Wigren Riccardo Sven Risuleo Lawrence M. Murray Fredrik Lindsten 83 15 0 30 Oct 2019
Particle filter with rejection control and unbiased estimator of the marginal likelihood J. Kudlicka Lawrence M. Murray Thomas B. Schon Fredrik Lindsten 115 2 0 21 Oct 2019
Nested Reasoning About Autonomous Agents Using Probabilistic Programs I. Seaman Jan-Willem van de Meent David Wingate LRM 83 13 0 04 Dec 2018
Automated learning with a probabilistic programming language: Birch Lawrence M. Murray Thomas B. Schon 78 63 0 02 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 88 200 0 27 Sep 2018
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs Lawrence M. Murray Daniel Lundén J. Kudlicka David Broman Thomas B. Schon 71 60 0 25 Aug 2017
Sequential Monte Carlo Methods in the nimble R Package Nick Michaud P. de Valpine Daniel Turek C. Paciorek D. Nguyen 73 6 0 17 Mar 2017
Towards Practical Bayesian Parameter and State Estimation Yusuf Erol Yi Wu Lei Li Stuart J. Russell 55 0 0 29 Mar 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 169 110 0 22 Feb 2016
Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models J. Dahlin Thomas B. Schon 97 25 0 05 Nov 2015