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Bayesian Nonparametric Data Analysis - Springer Series in Statistics Peter Muller Softcover reprint of the original 1st ed. 2015 edition
Bayesian Nonparametric Data Analysis - Springer Series in Statistics
Peter Muller
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.
207 pages, 49 black & white illustrations, 10 colour illustrations, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 15, 2016 |
| ISBN13 | 9783319368429 |
| Publishers | Springer International Publishing AG |
| Pages | 193 |
| Dimensions | 155 × 235 × 11 mm · 299 g |
| Language | French |
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