You might also like

More about Handbook of Approximate Bayesian Computation

• Book details
• Synopsis
• Trending among others

You get 592 loyalty points

Book 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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Handbook of Approximate Bayesian Computation
• Author: Scott A. Sisson, Yanan Fan, Mark Beaumont
• Language: English
• Binding: Hardback
• Number of pages: 662
• EAN: 9781439881507
• ISBN: 1439881502
• ID: 11062981
• Publisher: Taylor & Francis Inc
• Weight: 1162 g
• Dimensions: 164 × 242 × 39 mm
• Date of publishing: 10. August 2018

Trending among others

---

---

---