Handbook of Approximate Bayesian Computation

Scott A. Sisson (u. a.)

ISBN 10: 0367733722 / ISBN 13: 9780367733728

Published by Chapman and Hall/CRC, 2020

About this Item

Handbook of Approximate Bayesian Computation | Scott A. Sisson (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367733728 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 127165626

Bibliographic Details

• Title: Handbook of Approximate Bayesian Computation
• Publisher: Chapman and Hall/CRC
• Publication Date: 2020
• Language: English
• ISBN 10: 0367733722
• ISBN 13: 9780367733728
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 36D millimeters 234 millimeters width by 156 millimeters height by 36 millimeters depth
• Weight: 1015 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but powerful statistical techniques, take Bayesian statistics beyond the need to specify overly simplified models, to the setting where the model is defined only as a process that generates data. This process can be arbitrarily complex, to the point where standard Bayesian techniques based on working with tractable likelihood functions would not be viable. ABC methods finesse the problem of model complexity within the Bayesian framework by exploiting modern computational power, thereby permitting approximate Bayesian analyses of models that would otherwise be impossible to implement.

The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.

About the Author

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.