This recently arXived paper by Weixuan Zhu , Juan Miguel Marín, and Fabrizio Leisen proposes an alternative to our empirical likelihood ABC paper of 2013, or BCel. Besides the mostly personal appeal for me to report on a Juan Miguel Marín working [in Madrid] on ABC topics, along my friend Jean-Michel Marin!, this paper is another […]

## Search Results

## bootstrap(ed) likelihood for ABC

November 6, 2015## ABC in Helsinki, Stockholm, and in between [a.k.a., ABCruise]

October 28, 2015As mentioned in a previous post, I had not pursued actively the organisation of an “ABC in…” workshop this year. I am thus very grateful to Jukka Corander, Samuel Kaski, Ritabrata Dutta, Michael Gutmann, from Helsinki, to have organised the next “ABC in…” workshop in Helsinki in the most possible exotic way, namely aboard a […]

## ABC model choice via random forests accepted!

October 21, 2015“This revision represents a very nice response to the earlier round of reviews, including a significant extension in which the posterior probability of the selected model is now estimated (whereas previously this was not included). The extension is a very nice one, and I am happy to see it included.” Anonymous Great news [at least […]

## deep learning ABC summary statistics

October 19, 2015“The main task of this article is to construct low-dimensional and informative summary statistics for ABC methods.” The idea in the paper “Learning Summary Statistic for ABC via Deep Neural Network”, arXived a few days ago, is to start from the raw data and build a “deep neural network” (meaning a multiple layer neural network) […]

## ABC model choice via random forests [and no fire]

September 4, 2015While my arXiv newspage today had a puzzling entry about modelling UFOs sightings in France, it also broadcast our revision of Reliable ABC model choice via random forests, version that we resubmitted today to Bioinformatics after a quite thorough upgrade, the most dramatic one being the realisation we could also approximate the posterior probability of […]