Introduction to nonparametric Bayesian and Dirichlet process
統計科学セミナー
開催期間
2015.6.9(火)
16:00 ~ 17:30
16:00 ~ 17:30
場所
九州大学 伊都キャンパス 伊都図書館3階 中セミナー室3
講演者
Xizhi Shi (Shanghai Jiao Tong University)
概要
The Bayesian approach has proved very useful to signal processing, however, one of the major problems driving current NPB (Nonparametric Bayesian) research in statistical machine learning community is the search for ways to exploit highly-structured models. As an education tutorial lecture for graduated students, this talk includes the basic definition and property, .comparison between the parametric Bayesian and nonparametric Bayesian, Dirichlet distribution and process, major sampling rules, simulation & test, and an example of application to MR image of brain.