Hoeffding の確率不等式の根本的な性能向上のための基礎的考察

Translated title of the contribution: A Fundamental Study for Essentially Improving Performance of Hoeffding Probability Inequality

Shuto Tanabashi, Ikuo Arizono, Yasuhiko Takemoto

Research output: Contribution to journalArticlepeer-review

Abstract

Hoeffding probability inequality has been known as one of the best theoretical ways for evaluating the upper bound of upper probability about an average of several random variables based on limited stochastic properties such as expectation, variance and domain in each random variable. In this study, we address a fundamental study to make some issues clear for essentially improving the performance of Hoeffding probability inequality.

Translated title of the contributionA Fundamental Study for Essentially Improving Performance of Hoeffding Probability Inequality
Original languageJapanese
Pages (from-to)70-73
Number of pages4
JournalJournal of Japan Industrial Management Association
Volume73
Issue number2
DOIs
Publication statusPublished - 2022

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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