Edited by Sisson, Scott A.Edited by Fan, YananEdited by Beaumont, Mark
Approximate Bayesian Computation (ABC) methods, also known as likelihood-free inference methods, can be used to solve very complex ( computationally intractable ) problems. A huge amount of research has been conducted in this area over the last decade and a varied suite of algori...thms, models, techniques, and diagnostics have seen widespread application at the forefront of scientific research in a broad array of disciplines. This book presents an overview of ABC methods with a practical focus through lots of real examples and an R package for their implementation.Read more
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Scott Sission is Professor, ARC Future Fellow and Head of Statistics in the School of Mathematics and Statistics at UNSW. Yanan Fan is a Senior Lecturer at the School of Mathematics and Statistics at UNSW. Mark Beaumont is Professor of Statistics at the University of Bristol.
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