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OverviewThis 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. Full Product DetailsAuthor: George Karabatsos (University of Illinois, Chicago, USA) , Stephen Walker (University of Texas at Austin, USA)Publisher: Apple Academic Press Inc. Imprint: Apple Academic Press Inc. ISBN: 9781482243376ISBN 10: 1482243377 Pages: 300 Publication Date: 01 January 2021 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |