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variational approximation to empirical likelihood ABC

October 1, 2021

Sanjay Chaudhuri and his colleagues from Singapore arXived last year a paper on a novel version of empirical likelihood ABC that I hadn’t yet found time to read. This proposal connects with our own, published with Kerrie Mengersen and Pierre Pudlo in 2013 in PNAS. It is presented as an attempt at approximating the posterior […]

easy-to-use empirical likelihood ABC

October 23, 2018

A newly arXived paper from a group of researchers at NUS I wish we had discussed when I was there last month. As we wrote this empirical ABCe paper in PNAS with Kerrie Mengersen and Pierre Pudlo in 2012. Plus the SAME paper with Arnaud Doucet and Simon Godsill ten years earlier, which the authors […]

interdependent Gibbs samplers

April 27, 2018

Mark Kozdoba and Shie Mannor just arXived a paper on an approach to accelerate a Gibbs sampler. With title “interdependent Gibbs samplers“. In fact, it presents rather strong similarities with our SAME algorithm. More of the same, as Adam Johanssen (Warwick) entitled one of his papers! The paper indeed suggests multiplying replicas of latent variables […]

hierarchical models are not Bayesian models

February 18, 2015

When preparing my OxWaSP projects a few weeks ago, I came perchance on a set of slides, entitled “Hierarchical models are not Bayesian“, written by Brian Dennis (University of Idaho), where the author argues against Bayesian inference in hierarchical models in ecology, much in relation with the previously discussed paper of Subhash Lele. The argument […]

ABC for design

August 30, 2013

I wrote a comment on this arXived paper on simulation based design that starts from Müller (1999) and gets an ABC perspective a while ago on my iPad when travelling to Montpellier and then forgot to download it… Hainy, [Wener] Müller, and Wagner recently arXived a paper called “Likelihood-free Simulation-based Optimal Design“, paper which relies […]