Vertel uw vrienden over dit artikel:
Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics 2nd ed. 2016 edition
Eswar G. Phadia
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
Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
Vrijgegeven | 9 augustus 2016 |
ISBN13 | 9783319327884 |
Uitgevers | Springer International Publishing AG |
Pagina's | 327 |
Afmetingen | 155 × 235 × 21 mm · 662 g |
Taal en grammatica | Engels |
Alles tonen
Meer door Eswar G. Phadia
Bekijk alles van Eswar G. Phadia ( bijv. Hardcover Book en Paperback Book )