{"product_id":"likelihood-free-methods-for-cognitive-science-9783319724249","title":"Likelihood-Free Methods for Cognitive Science","description":"\u003cp\u003e • Author(s): James J. Palestro\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Cognitive Psychology \u0026amp; Cognition\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eChapters 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eLikelihood-Free Methods for Cognitive Science \u003c\/i\u003ewill be of interest to researchers and graduate students working in experimental, applied, and cognitive science. \u003c\/p\u003e\u003cbr\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45281633665175,"sku":"9783319724249","price":3639.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319724249.webp?v=1769299791","url":"https:\/\/atlanticbooks.com\/products\/likelihood-free-methods-for-cognitive-science-9783319724249","provider":"Atlantic Books","version":"1.0","type":"link"}