Handbook of Approximate Bayesian Computation is popular PDF and ePub book, written by Scott A. Sisson in 2018-09-03, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Handbook of Approximate Bayesian Computation can be Read Online from any device for your convenience.
Handbook of Approximate Bayesian Computation Book PDF Summary
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.
Detail Book of Handbook of Approximate Bayesian Computation PDF
- Author : Scott A. Sisson
- Release : 03 September 2018
- Publisher : CRC Press
- ISBN : 9781439881514
- Genre : Mathematics
- Total Page : 679 pages
- Language : English
- PDF File Size : 17,5 Mb
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