Likelihood-Free Methods for Cognitive Science

by James J Palestro, Adam F. Osth, Brandon M. Turner, et al.

Book Overview

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...

• Format: Paperback
• Language: English
• ISBN: 3319891812
• ISBN13: 9783319891811
• Release Date: June 2019
• Publisher: Springer
• Length: 129 Pages
• Weight: 0.47 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"