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This book is a comprehensive guide designed to help readers master the fundamentals of Bayesian statistical modeling. It offers practical insights into Bayesian methods through real-world examples and hands-on coding exercises. Supplemental Nimble code is also available online, offering additional flexibility for readers.
Gilbert W. Fellingham is a Professor of Statistics at Brigham Young University. His primary research interests are Bayesian and Nonparametric Bayesian methods applied to health and human performance. He is currently serving as editor-in-chief of the Journal of Quantitative Analysis in Sports.
Scott A. Baldwin is a professor of clinical psychology at Brigham Young University. His research focuses on methodological, psychometric, and statistical challenges in psychotherapy research and the social science generally. He teaches course on psychotherapy, research methods, statistics, and measurement.
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