Pastāsti draugiem par šo preci:
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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2016. gada 9. augusts |
| ISBN13 | 9783319327884 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 327 |
| Izmēri | 155 × 235 × 21 mm · 662 g |
| Valoda | Angļu |