Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) - Image 1

£58.00

About as cheap as it gets — within 5% of the all-time low it hit 3 months ago.

£58 today · all-time low £58 (Jul 2026) · usually the usual

Chapman and Hall/CRC Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Name: Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Brand: Chapman and Hall/CRC
Price: 58.0 GBP
Availability: InStock

Business & Home Office

Price Distribution

Price distribution over 45 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £58 (35 days, 77.8%)

Price range: £58 - £59

Price levels: 2 different prices over 45 days

Description

This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive science (e.g., linguistics, psycholinguistics, psychology, computer science), with a particular focus on modeling data from planned experiments. The book relies on the probabilistic programming language Stan and the R package brms, which is a front-end to Stan. The book only assumes that the reader is familiar with the statistical programming language R, and has basic high school exposure to pre-calculus mathematics; some of the important mathematical constructs needed for the book are introduced in the first chapter. Through this book, the reader will be able to develop a practical ability to apply Bayesian modeling within their own field. The book begins with an informal introduction to foundational topics such as probability theory, and univariate and bi-/multivariate discrete and continuous random variables. Then, the application of Bayes' rule for statistical inference is introduced with several simple analytical examples that require no computing software; the main insight here is that the posterior distribution of a parameter is a compromise between the prior and the likelihood functions. The book then gradually builds up the regression framework using the brms package in R, ultimately leading to hierarchical regression modeling (aka the linear mixed model). Along the way, there is detailed discussion about the topic of prior selection, and developing a well-defined workflow. Later chapters introduce the Stan programming language, and cover advanced topics using practical examples: contrast coding, model comparison using Bayes factors and cross-validation, hierarchical models and reparameterization, defining custom distributions, measurement error models and meta-analysis, and finally, some examples of cognitive models: multinomial processing trees, finite mixture models, and accumulator models. Additional chapters, appendices, and exercises are provided as online materials and can be accessed here: https://github.com/bnicenboim/bayescogsci. Further additional material can be accessed here: https://open.hpi.de/courses/bayesian-statistics2023 and here:https://vasishth.github.io/LecturesIntroBayes/.

Key Features

New Store Stock

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 0367359332
Category: Books > Subjects > Computing & Internet > Software & Graphics > Business & Home Office
Domain: Amazon UK
Release Date: 20 August 2025
Listed Since: 05 February 2025

Barcode

No barcode data available

About as cheap as it gets — within 5% of the all-time low it hit 3 months ago.

Chapman and Hall/CRC Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

CRC Press Bayes Rules! Applied Bayesian Modeling Book

Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods

Bayesian Meta-Analysis: A Practical Introduction

Bayesian Statistical Modelling, 2nd Edition

Current Trends in Bayesian Methodology with Applications

The Bayesian Way: Introductory Statistics for Economists and Engineers

Elementary Bayesian Biostatistics: 21 (Chapman & Hall/CRC Biostatistics Series)

Introduction to Statistical Modelling and Inference

Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems

Wiley Bayesian Statistics and Marketing - Research Toolkit

Bayesian Methods in Statistics: From Concepts to Practice

A Student's Guide to Bayesian Statistics - SAGE

Bayesian Multilevel Models for Repeated Measures Data in R

Assessment: Problems, Developments and Statistical Issues - Wiley Series

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R

Contemporary Bayesian Econometrics and Statistics: 537 (Wiley Series in Probability and Statistics)

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series)

Elementary Bayesian Biostatistics (Chapman & Hall/CRC Biostatistics Series)

Bayesian Essentials with R (Springer Texts in Statistics)

Biostatistics: A Bayesian Introduction - Wiley Statistics

Bayesian Inference: Observations and Applications (Mathematics Research Developments)

About as cheap as it gets — within 5% of the all-time low it hit 3 months ago.

Chapman and Hall/CRC Introduction to Bayesian Data Analysis for Cognitive Science (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

CRC Press Bayes Rules! Applied Bayesian Modeling Book

Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods

Bayesian Meta-Analysis: A Practical Introduction

Bayesian Statistical Modelling, 2nd Edition

Current Trends in Bayesian Methodology with Applications

The Bayesian Way: Introductory Statistics for Economists and Engineers

Elementary Bayesian Biostatistics: 21 (Chapman & Hall/CRC Biostatistics Series)

Introduction to Statistical Modelling and Inference

Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems

Wiley Bayesian Statistics and Marketing - Research Toolkit

Bayesian Methods in Statistics: From Concepts to Practice

A Student's Guide to Bayesian Statistics - SAGE

Bayesian Multilevel Models for Repeated Measures Data in R

Assessment: Problems, Developments and Statistical Issues - Wiley Series

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in R

Contemporary Bayesian Econometrics and Statistics: 537 (Wiley Series in Probability and Statistics)

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series)

Elementary Bayesian Biostatistics (Chapman & Hall/CRC Biostatistics Series)

Bayesian Essentials with R (Springer Texts in Statistics)

Biostatistics: A Bayesian Introduction - Wiley Statistics

Bayesian Inference: Observations and Applications (Mathematics Research Developments)