This book provides a class of highly flexible models that can accurately describe and predict many types of real data sets. There are a large number of applications from a wide range of scientific fields including economics, medicine, bioinformatics, genetics, psychology, education, sociology, and engineering. The book provides an accessible and self-contained introduction to the ideas underpinning Bayesian nonparametrics with lots of real data examples, computing using R, MATLAB and WinBUGS, and exercises for course use or self-study.
- ISBN10 1482243377
- ISBN13 9781482243376
- Publish Date 31 December 2023
- Publish Status Forthcoming
- Publish Country CA
- Imprint Apple Academic Press Inc.
- Format Hardcover
- Pages 300
- Language English