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Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics 2nd ed. 2016 edition
Eswar G. Phadia
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Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics 2nd ed. 2016 edition
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.
344 pages, 1 colour illustrations, 1 colour tables, biography
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 9 de agosto de 2016 |
| ISBN13 | 9783319327884 |
| Editores | Springer International Publishing AG |
| Páginas | 327 |
| Dimensiones | 155 × 235 × 21 mm · 662 g |
| Lengua | English |
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