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Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics Eswar G. Phadia Softcover reprint of the original 2nd ed. 2016 edition
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Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics
Eswar G. Phadia
After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process.
327 pages, 1 Tables, color; 1 Illustrations, color; XVII, 327 p. 1 illus. in color.
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 22. april 2018 |
| ISBN13 | 9783319813707 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 327 |
| Mål | 150 × 220 × 10 mm · 485 g |
| Språk | Engelsk |