Povej prijatelju o tem izdelku:
Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics Eswar G. Phadia 2nd ed. 2016 edition
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.
344 pages, 1 colour illustrations, 1 colour tables, biography
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 9. avgusta 2016 |
| ISBN13 | 9783319327884 |
| Založniki | Springer International Publishing AG |
| Strani | 327 |
| Dimenzije | 155 × 235 × 21 mm · 662 g |
| Jezik | Angleščina |