Presentation 2023-08-03
Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and $alpha$-Divergence
Shota Saito,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We investigate a Bayesian predictive distribution for independent Poisson observables. The alpha-divergence is adopted as a loss function. As in the previous study by Komaki [F. Komaki, Simultaneous prediction of independent Poisson observables, The Annals of Statistics, pp.1744--1769, 2004], we consider a class of prior distributions for Poisson means and show the Bayesian predictive distribution for this prior. As special cases of our result, the Bayesian predictive distributions for the Jeffreys prior and a shrinkage prior are obtained.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) $alpha$-divergence / admissible / Bayesian predictive distribution / Jeffreys prior / shrinkage prior
Paper # IT2023-19
Date of Issue 2023-07-27 (IT)

Conference Information
Committee IT
Conference Date 2023/8/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Shonan Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Freshman session, General
Chair Tetsuya Kojima(Tokyo Kosen)
Vice Chair Yasuyuki Nogami(Okayama Univ.)
Secretary Yasuyuki Nogami(Waseda Univ.)
Assistant Tetsunao Matsuta(Saitamai Univ.)

Paper Information
Registration To Technical Committee on Information Theory
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bayesian Predictive Distribution for Poisson Observables Under a Class of Prior Distribution and $alpha$-Divergence
Sub Title (in English)
Keyword(1) $alpha$-divergence
Keyword(2) admissible
Keyword(3) Bayesian predictive distribution
Keyword(4) Jeffreys prior
Keyword(5) shrinkage prior
1st Author's Name Shota Saito
1st Author's Affiliation Gunma University(Gunma Univ.)
Date 2023-08-03
Paper # IT2023-19
Volume (vol) vol.123
Number (no) IT-149
Page pp.pp.29-32(IT),
#Pages 4
Date of Issue 2023-07-27 (IT)