Model-Based Clustering and Classification for Data Science With Applications in R |
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Author:
| Bouveyron, Charles Celeux, Gilles Murphy, T. Brendan Raftery, Adrian E. |
Series title: | Cambridge Series in Statistical and Probabilistic Mathematics Ser. |
ISBN: | 978-1-108-64418-1 |
Publication Date: | Jun 2019 |
Publisher: | Cambridge University Press
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Book Format: | Digital download and online |
List Price: | USD $225.00 |
Book Description:
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This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.
This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction methods, using extensive data examples and providing R code for many methods.