Prior to the ISBA 2018 meeting, Yi Liu, Veronika Ročková, and Yuexi Wang arXived a paper on relying ABC for finding relevant variables, which is a very original approach in that ABC is not as much the object as it is a tool. And which Veronika considered during her Susie Bayarri lecture at ISBA 2018. […]

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## ABC in Ed’burgh

June 28, 2018A glorious day for this new edition of the “ABC in…” workshops, in the capital City of Edinburgh! I enjoyed very much this ABC day for demonstrating ABC is still alive and kicking!, i.e., enjoying plenty of new developments and reinterpretations. With more talks and posters on the way during the main ISBA 2018 meeting. […]

## ABC²DE

June 25, 2018A recent arXival on a new version of ABC based on kernel estimators (but one could argue that all ABC versions are based on kernel estimators, one way or another.) In this ABC-CDE version, Izbicki, Lee and Pospisilz [from CMU, hence the picture!] argue that past attempts failed to exploit the full advantages of kernel […]

## ABC’ptotics on-line

June 14, 2018Our paper on Asymptotic properties of ABC with David Frazier, Gael Martin, and Judith Rousseau, is now on-line on the Biometrika webpage. Coincidentally both papers by Wentao Li and Paul Fearnhead on ABC’ptotics are published in the June issue of the journal. Approximate Bayesian computation allows for statistical analysis using models with intractable likelihoods. In […]

## ABC with no prior

April 30, 2018“I’m trying to fit a complex model to some data that take a large amount of time to run. I’m also unable to write down a Likelihood function to this problem and so I turned to approximate Bayesian computation (ABC). Now, given the slowness of my simulations, I used Sequential ABC (…) In fact, contrary […]