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. |
