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タイトル
和文:Formalizing Statistical Beliefs in Hypothesis Testing Using Program Logic 
英文:Formalizing Statistical Beliefs in Hypothesis Testing Using Program Logic 
著者
和文: 川本裕輔, 佐藤哲也, 末永 幸平.  
英文: Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga.  
言語 English 
掲載誌/書名
和文:Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning 
英文:Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning 
巻, 号, ページ        
出版年月 2021年9月 
出版者
和文: 
英文: 
会議名称
和文: 
英文:18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2022) 
開催地
和文: 
英文: 
公式リンク http://dx.doi.org/10.24963/kr.2021/39
 
DOI https://doi.org/10.24963/kr.2021/39
アブストラクト <jats:p>We propose a new approach to formally describing the requirement for statistical inference and checking whether the statistical method is appropriately used in a program. Specifically, we define belief Hoare logic (BHL) for formalizing and reasoning about the statistical beliefs acquired via hypothesis testing. This logic is equipped with axiom schemas for hypothesis tests and rules for multiple tests that can be instantiated to a variety of concrete tests. To the best of our knowledge, this is the first attempt to introduce a program logic with epistemic modal operators that can specify the preconditions for hypothesis tests to be applied appropriately.</jats:p>

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