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Prior Processes and Their Applications : Nonparametric Bayesian Estimation by Eswar G. Phadia is a mathematics available to read on EtoBox.
What is Prior Processes and Their Applications : Nonparametric Bayesian Estimation about?
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the last four decades in order to deal with the Bayesian approach to solving some nonparametric inference problems. Applications of these priors in various estimation problems are presented. Starting with the famous Dirichlet process and its variants, the first part describes processes neutral to the right, gamma and extended gamma, beta and beta-Stacy, tail free and Polya tree, o
Who reads Prior Processes and Their Applications : Nonparametric Bayesian Estimation?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Eswar G. Phadia
- Publisher
- Spektrum Akademischer Verlag. in Springer-Verlag GmbH
- Published
- 2013
- Language
- EN
- ISBN
- 9783642429316
- Category
- mathematics
- Subjects
- Mathematics, Stem
- Updated
- 2026-03-25
Other editions & translations
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