Biips: Software for Bayesian Inference with Interacting Particle Systems

11 December 2014

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

8 / 8 papers shown

Title
A New Approach to Probabilistic Programming Inference Frank Wood Jan-Willem van de Meent Vikash K. Mansinghka 59 347 0 03 Jul 2015
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 66 256 0 01 Apr 2014
Sequential Monte Carlo for Graphical Models C. A. Naesseth Fredrik Lindsten Thomas B. Schon 92 49 0 03 Feb 2014
vSMC: Parallel Sequential Monte Carlo in C++ Yan Zhou 56 15 0 24 Jun 2013
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi Lawrence M. Murray 88 113 0 14 Jun 2013
Capturing the time-varying drivers of an epidemic using stochastic dynamical systems Joseph Dureau K. Kalogeropoulos M. Baguelin 80 111 0 27 Mar 2012
Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC) G. Peters G. Hosack K. Hayes 114 45 0 13 May 2010
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods Anthony Lee C. Yau M. Giles Arnaud Doucet Christopher C. Holmes 95 322 0 14 May 2009