講座名稱

Semiparametric   inference for multiple nonnegative distributions with excess zero   observations

開設部門

統計與信息學院

時間地點

2018年12月7日11:00  C403

面向對象

經管類師生

主講人

王淳林

講座類型

全校性學術講座

內容簡介

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.