Introduction to Bayesian Data Analysis for Cognitive Science

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.

Info autore

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).

Dettagli sul prodotto

• Autori: Bruno Nicenboim, Daniel J. Schad, Vasishth Shravan, Bruno (University of Potsdam) Schad Nicenboim, Bruno (Department of Cognitive Science Nicenboim, Bruno (Tilburg University Nicenboim
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 22.08.2025
• Categoria: Scienze umane, arte, musica > Psicologia > Fondamenti; Saggistica > Psicologia, esoterismo, spiritualità, antroposofia > Psicologia: tematiche generali, opere di consultaz
• EAN: 9780367358518
• ISBN: 978-0-367-35851-8
• Numero di pagine: 608
• Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
• Categorie: Language, MATHEMATICS / Probability & Statistics / General, PSYCHOLOGY / Statistics, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Psychological methodology, Probability & statistics, Cognitive studies, Probability and statistics, Mathematical and statistical software, Language and Linguistics, Probabilistic programming, measurement error models, experimental data analysis, hierarchical regression, cognitive modeling in Stan, Stan modeling, brms package tutorials