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Semiparametric inference for multiple nonnegative distributions with excess zero observations

发布时间:2018-12-05文章来源:明升国际线上娱乐网址_官方网站(手机版)浏览次数:10

讲座名称

Semiparametric   inference for multiple nonnegative distributions with excess zero   observations

开设部门

统计与信息学院

时间地点

201812711:00  C403

面向对象

经管类师生

主讲人

王淳林

讲座类型

全校性明升国际娱乐官方网站

内容简介

A non-standard, but not uncommon, situation is to observe multiple samples of nonnegative data which have a high proportion of zeros. This talk will focus on some important, and fundamental, statistical inference problems for such data structure. A unique feature of the target populations is that the distribution of each sample is characterized by a non-standard mixture of a singular distribution at zero and a skewed nonnegative component. We propose modelling the nonnegative components using a semiparametric, multiple-sample, density ratio model. Under this semiparametric setup, we can exploit information from all available samples even with unspecified underlying distributions. 


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