Book Details
Format
Kindle
Pages
446
Language
English
Published
Apr 3, 2014
Publisher
Cambridge University Press
ISBN-10
1107704596
ISBN-13
9781107704596
Description
This book offers an insightful and practical introduction to Bayesian cognitive modeling, bridging the gap between theoretical concepts and real-world application. The authors, Michael D. Lee and Eric-Jan Wagenmakers, guide readers through the intricacies of Bayesian methods, demonstrating their relevance and utility in various scientific inquiries.
Readers are led step-by-step through foundational principles, enriching their understanding through clear explanations and practical examples. The authors emphasize hands-on learning, encouraging students and researchers to engage with the material, develop their analytical skills, and apply Bayesian approaches to their work.
Moreover, the text is designed to appeal to a diverse audience, from novices seeking to grasp basic concepts to advanced practitioners aiming to deepen their knowledge. With its clear structure and practical approach, this course serves as an essential resource for anyone interested in harnessing the power of Bayesian inference in cognitive modeling.
Readers are led step-by-step through foundational principles, enriching their understanding through clear explanations and practical examples. The authors emphasize hands-on learning, encouraging students and researchers to engage with the material, develop their analytical skills, and apply Bayesian approaches to their work.
Moreover, the text is designed to appeal to a diverse audience, from novices seeking to grasp basic concepts to advanced practitioners aiming to deepen their knowledge. With its clear structure and practical approach, this course serves as an essential resource for anyone interested in harnessing the power of Bayesian inference in cognitive modeling.
Genres
Science & Technology
Psychology