research
∙
02/14/2023
Detecting human and non-human vocal productions in large scale audio recordings
We propose an automatic data processing pipeline to extract vocal produc...
share
research
∙
05/03/2022
Tempered, Anti-trunctated, Multiple Importance Sampling
Importance sampling is a Monte Carlo method that introduces a proposal d...
research
∙
10/31/2019
Combined parameter and state inference with automatically calibrated ABC
State space models contain time-indexed parameters, called states; some ...
research
∙
05/18/2016
ABC random forests for Bayesian parameter inference
This preprint has been reviewed and recommended by Peer Community In Evo...
research
∙
03/26/2015
Likelihood-free Model Choice
This document is an invited chapter covering the specificities of ABC mo...
research
∙
06/24/2014
Reliable ABC model choice via random forests
Approximate Bayesian computation (ABC) methods provide an elaborate appr...
research
∙
02/11/2010
