Likelihood Free Methods for Cognitive Science is popular PDF and ePub book, written by James J. Palestro in 2018-02-07, it is a fantastic choice for those who relish reading online the Psychology genre. Let's immerse ourselves in this engaging Psychology book by exploring the summary and details provided below. Remember, Likelihood Free Methods for Cognitive Science can be Read Online from any device for your convenience.
Likelihood Free Methods for Cognitive Science Book PDF Summary
This book explains the foundation of approximate Bayesian computation (ABC), an approach to Bayesian inference that does not require the specification of a likelihood function. As a result, ABC can be used to estimate posterior distributions of parameters for simulation-based models. Simulation-based models are now very popular in cognitive science, as are Bayesian methods for performing parameter inference. As such, the recent developments of likelihood-free techniques are an important advancement for the field. Chapters discuss the philosophy of Bayesian inference as well as provide several algorithms for performing ABC. Chapters also apply some of the algorithms in a tutorial fashion, with one specific application to the Minerva 2 model. In addition, the book discusses several applications of ABC methodology to recent problems in cognitive science. Likelihood-Free Methods for Cognitive Science will be of interest to researchers and graduate students working in experimental, applied, and cognitive science.
Detail Book of Likelihood Free Methods for Cognitive Science PDF
- Author : James J. Palestro
- Release : 07 February 2018
- Publisher : Springer
- ISBN : 9783319724256
- Genre : Psychology
- Total Page : 136 pages
- Language : English
- PDF File Size : 17,6 Mb
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