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ABC by subset simulation

August 25, 2016

Last week, Vakilzadeh, Beck and Abrahamsson arXived a paper entitled “Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes”. It follows an earlier paper by Beck and coauthors on ABC by subset simulation, paper that I did not read. The model of interest is a hidden Markov model […]

automatic variational ABC

July 8, 2016

“Stochastic Variational inference is an appealing alternative to the inefficient sampling approaches commonly used in ABC.” Moreno et al. [including Ted Meeds and Max Welling] recently arXived a paper merging variational inference and ABC. The argument for turning variational is computational speedup. The traditional (in variational inference) divergence decomposition of the log-marginal likelihood is replaced […]

ABC random forests for Bayesian parameter inference [version 2.0]

June 30, 2016

Just mentioning that a second version of our paper has been arXived and submitted to JMLR, the main input being the inclusion of a reference to the abcrf package. And just repeating our best selling arguments that (i) forests do not require a preliminary selection of the summary statistics, since an arbitrary number of summaries […]

the new version of abcrf

June 7, 2016

A new version of the R package abcrf has been posted on Friday by Jean-Michel Marin, in conjunction with the recent arXival of our paper on point estimation via ABC and random forests. The new R functions come to supplement the existing ones towards implementing ABC point estimation: covRegAbcrf, which predicts the posterior covariance between […]

ABC random forests for Bayesian parameter inference

May 20, 2016

Before leaving Helsinki, we arXived [from the Air France lounge!] the paper Jean-Michel presented on Monday at ABCruise in Helsinki. This paper summarises the experiments Louis conducted over the past months to assess the great performances of a random forest regression approach to ABC parameter inference. Thus validating in this experimental sense the use of […]


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