Pinned Repositories
bayeshscore
Bayesian model comparison using the Hyvärinen score
bettertogether
reproduces experiments in arxiv.org/abs/1708.08719
CoupledCPF
Coupled Conditional Particle Filters
couplingsmontecarlo
some scripts for the couplings enthusiasts!
debiasedhmc
Unbiased HMC estimators with couplings
dempsterpolytope
smcsamplers
statisfaction-code
Some code related to blog posts published on the blog Statisfaction
unbiasedmcmc
Unbiased Markov chain Monte Carlo with couplings
winference
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
pierrejacob's Repositories
pierrejacob/couplingsmontecarlo
some scripts for the couplings enthusiasts!
pierrejacob/unbiasedmcmc
Unbiased Markov chain Monte Carlo with couplings
pierrejacob/winference
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
pierrejacob/bayeshscore
Bayesian model comparison using the Hyvärinen score
pierrejacob/CoupledCPF
Coupled Conditional Particle Filters
pierrejacob/debiasedhmc
Unbiased HMC estimators with couplings
pierrejacob/smcsamplers
pierrejacob/statisfaction-code
Some code related to blog posts published on the blog Statisfaction
pierrejacob/dempsterpolytope
pierrejacob/bettertogether
reproduces experiments in arxiv.org/abs/1708.08719
pierrejacob/CoupledPF
Coupled Particle Filters
pierrejacob/PET
Particle Enthusiast Toolbox
pierrejacob/RShapeTarget
R package to create toy target distributions based on SVG files and on strings
pierrejacob/blog-code
pieces of code associated with blog posts
pierrejacob/RBi
R Wrapper for LibBi
pierrejacob/RSTAT131
some scripts associated with STAT131: Time Series & Prediction
pierrejacob/umcmchandbook
pierrejacob/BatteryMCMC
Scripts to perform particle MCMC on Battery non-Markovian models
pierrejacob/HiddenAR
Simplest linear gaussian model folder for LibBi
pierrejacob/shinyapps
some shiny apps for courses and presentations
pierrejacob/unbiasedpathsampling
Scripts to reproduce experiments in the technical report https://arxiv.org/abs/1810.01382, with Maxime Rischard and Natesh Pillai
pierrejacob/unbiasedpoisson