Introduction to Bayesian Data Analysis for Cognitive Science by Bruno Nicenboim

Introduction to Bayesian Data Analysis for Cognitive Science by Bruno Nicenboim

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Summary

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 focus on modeling data from planned experiments. The book relies on the probabilistic programming language Stan and the R package brms.

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Introduction to Bayesian Data Analysis for Cognitive Science by Bruno Nicenboim

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 focus on modeling data from planned experiments. The book relies on the probabilistic programming language Stan and the R package brms.

Bruno Nicenboim is assistant professor in the department of Cognitive Science and Artificial Intelligence at Tilburg University in the Netherlands, working within the area of computational psycholinguistics.

Daniel J. Schad is a cognitive psychologist and is professor of Quantitative Methods at the HMU Health
and Medical University in Potsdam, Germany.

Shravan Vasishth is professor of psycholinguistics at the department of Linguistics at the University of Potsdam, Germany; he is a chartered statistician (Royal Statistical Society, UK).

SKU Unavailable
ISBN 13 9780367359331
ISBN 10 0367359332
Title Introduction to Bayesian Data Analysis for Cognitive Science
Author Bruno Nicenboim
Series Chapman And Hall Crc Statistics In The Social And Behavioral Sciences
Condition Unavailable
Binding Type Paperback
Publisher Taylor & Francis Ltd
Year published 2025-08-28
Number of pages 636
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.