A Bayesian Inference and Stochastic Dynamic Programming Approach to Determine the Best Binomial Distribution

DOI10.1080/03610920802549902zbMath1170.62018OpenAlexW1984838616MaRDI QIDQ3396345

Seyed Taghi Akhavan Niaki, Mohammad Saber Fallah Nezhad

Publication date: 18 September 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920802549902

zbMATH Keywords

stochastic dynamic programmingBayesian inferencebeta distributionbest binomial distributionoptimum stopping problem

Mathematics Subject Classification ID

Bayesian inference (62F15) Stochastic programming (90C15) Dynamic programming (90C39) Sequential statistical analysis (62L10) Statistical ranking and selection procedures (62F07) Optimal stopping in statistics (62L15)

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