Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"
Christophe Andrieu, Simon Barthelme, Nicolas Chopin, Julien Cornebise,, Arnaud Doucet, Mark Girolami, Ioannis Kosmidis, Ajay Jasra, Anthony Lee,, Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Mohammed Sedki. and, Sumeetpal S. Singh
TL;DR
This paper provides a critical discussion and commentary on Fearnhead and Prangle's 2011 work on semi-automatic construction of summary statistics for approximate Bayesian computation, including a reply from the original authors.
Contribution
It offers an analytical perspective on the methods proposed by Fearnhead and Prangle, highlighting strengths and potential limitations.
Findings
Clarifies the methodology of semi-automatic ABC
Provides insights and critiques on the original approach
Includes a response from the original authors
Abstract
This report is a collection of comments on the Read Paper of Fearnhead and Prangle (2011), to appear in the Journal of the Royal Statistical Society Series B, along with a reply from the authors.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models · Statistical Methods and Bayesian Inference