Bayesian Nonparametric Data Analysis
7
%
2510 Kč 2 700 Kč
Sleva až 70% u třetiny knih
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.
| Autor: | Mueller, Peter; Quintana, Fernando Andres; Jara, Alejandro; Hanson, Tim |
| Nakladatel: | Springer International Publishing AG |
| ISBN: | 9783319189673 |
| Rok vydání: | 2015 |
| Jazyk : | Angličtina |
| Vazba: | Hardback |
| Počet stran: | 193 |
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