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

£50.39

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: 50.39 GBP
Availability: InStock

Business & Home Office

It has never been this cheap. We have no record of a lower price.

£50 today · cheaper than every other day in the last 11 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 227 days • 227 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 227 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £53 (130 days, 57.3%)

Price range: £50 - £58

Price levels: 4 different prices over 227 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

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

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

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

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

Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics)

Bayesian Methods in Statistics: From Concepts to Practice

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)

Wiley Biostatistics: A Bayesian Introduction - 499 Series

Bayesian Inference: Observations and Applications (Mathematics Research Developments)

A Student’s Guide to Bayesian Statistics

Bayesian Approaches to Clinical Trials and Health-Care Evaluation: 13 (Statistics in Practice)

The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics: 858 (Studies in Computational Intelligence, 858)