Providing coverage of the theoretical and empirical foundation of the principles of human performance, this text offers a theoretical approach, teaching students how to think about a broad range of human factor problems. It provides an understanding of the variables that influence human performance and the ways in which human factors experts draw upon this knowledge.

Human Factors in Simple and Complex Systems

Health, Fitness & Dieting

Proctor, Robert W.

Van Zandt, Trisha

Psychology & Counseling

Allyn&Bacon

Engineering & Transportation

Engineering

Pearson College Div

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.

Likelihood-Free Methods for Cognitive Science (Computational Approaches to Cognition and Perception)

Science & Math

Turner, Brandon M.

Palestro, James J.

Sederberg, Per B.

Osth, Adam F.

Behavioral Sciences

Springer

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Books by Van Zandt, Trisha