Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics - Eswar G. Phadia - Grāmatas - Springer International Publishing AG - 9783319327884 - 2016. gada 9. augusts
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Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics 2nd ed. 2016 edition

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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  

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