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Dtic Ada170039%3a A Note On Bayes Empirical Bayes Estimation By Means Of Dirichlet Processes. by Defense Technical Information Center
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1DTIC ADA170039: A Note On Bayes Empirical Bayes Estimation By Means Of Dirichlet Processes.
By Defense Technical Information Center
Bayes estimators are derived by means of the Dirichlet process hyperprior approach for general empirical Bayes problems. For any sample size, these estimators are expressed concisely as ratios of two multidimensional integrals. A numerical example on Poisson sampling is given. Keywords: Bayesian nonparametric density method; compound Poisson distribution. (Author)
“DTIC ADA170039: A Note On Bayes Empirical Bayes Estimation By Means Of Dirichlet Processes.” Metadata:
- Title: ➤ DTIC ADA170039: A Note On Bayes Empirical Bayes Estimation By Means Of Dirichlet Processes.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA170039: A Note On Bayes Empirical Bayes Estimation By Means Of Dirichlet Processes.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Kuo,Lynn - STATE UNIV OF NEW YORK AT STONY BROOK DEPT OF APPLIED MATHEMATICS AND STATISTICS - *ESTIMATES - *DIRICHLET INTEGRAL - RANDOM VARIABLES - STATISTICAL INFERENCE - MONTE CARLO METHOD - STATISTICAL SAMPLES - NONPARAMETRIC STATISTICS - BAYES THEOREM - POISSON DENSITY FUNCTIONS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA170039
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The book is available for download in "texts" format, the size of the file-s is: 12.66 Mbs, the file-s for this book were downloaded 80 times, the file-s went public at Fri Feb 09 2018.
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