467 citations · 1.2k across the 12 of their papers we have counts for
4 papers · 1 filter
Regression approaches for Approximate Bayesian Computation
Michael GB Blum
This book chapter introduces regression approaches and regression adjustment for Approximate Bayesian Computation (ABC). Regression adjustment adjusts parameter values after reject…
Goodness-of-fit statistics for approximate Bayesian computation
Louisiane Lemaire, Flora Jay, I-Hung Lee +2
Approximate Bayesian computation is a statistical framework that uses numerical simulations to calibrate and compare models. Instead of computing likelihood functions, Approximate…
Diagnostic tools of approximate Bayesian computation using the coverage property
D. Prangle, M. G. B. Blum, G. Popovic +1
Approximate Bayesian computation (ABC) is an approach for sampling from an approximate posterior distribution in the presence of a computationally intractable likelihood function.…
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
M. G. B. Blum, M. A. Nunes, D. Prangle +1
Approximate Bayesian computation (ABC) methods make use of comparisons between simulated and observed summary statistics to overcome the problem of computationally intractable like…