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Books > Social sciences > Psychology > Cognition & cognitive psychology
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Likelihood-Free Methods for Cognitive Science (Hardcover, 1st ed. 2018)
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Likelihood-Free Methods for Cognitive Science (Hardcover, 1st ed. 2018)
Series: Computational Approaches to Cognition and Perception
Expected to ship within 12 - 17 working days
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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.
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