Handbook of Approximate Bayesian Computation ─ Likelihood-free Methods for Complex Models
商品資訊
ISBN13：9781439881507
出版社：Taylor & Francis
作者：Scott A. Sisson; Yanan Fan; Mark Beaumont
出版日：2014/10/24
裝訂／頁數：精裝／320頁
規格：24.8cm*17.1cm*4.4cm (高/寬/厚)
版次：1
商品簡介
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 algorithms, 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.
作者簡介
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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