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清華大學統計學研究所
國立清華大學統計學研究所
2017-04-28(五),主講人:胡膺期 教授 (Hong Kong Univ. of Science & Technology)

清華大學、交通大學

統 計 學 研 究 所

專 題 演 講

 


講 題: Empirical Bayes, Naive Bayes and All That about Data Analysis
演講者: 胡膺期 教授 (Hong Kong Univ. of Science & Technology)
時 間: 106年04月28日(星期五)10:40 - 12:00  (10:20 - 10:40 茶會於統計所821室舉行)
地 點: 綜合三館837室
摘 要:

Empirical Bayes method has attracted considerable attention in large-scale inference recently ​as highlighted in Efron (2010). Naive Bayes classier is an important benchmark method for classification problems. In this talk, I'll use a high-dimensional categorical dataset to investigate some critical issues of empirical Bayes method and Naive Bayes classifier. In particular, a new statistic, useful in describing relationship among high-dimensional categorical variables,​ and a new interpretation of a famous formula in nonparametric empirical Bayes, which leads to a counter-​intuitive data analysis procedure with superior results, will be presented. Naive Bayes classifier as a low-dimension logistic regression model will also be ​discussed.

 

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