다음과 같이 초청특강을 개최하오니 많은 참석바랍니다.

1. 일시 : 2019년 12월 30일(월), 오후 3시 ~ 4시

2. 장소 : 통계학과 세미나실 (자연대연구실험동 222호)

3. 연사 : 양호진 박사 (Department of Mathematics and Statistics,

                      University of Nevada Reno, USA)

4. 연제 : Functional Regression Analysis of Distributional Data Using Quantile Functions

Abstract

  The aims of this paper are to look at the subject-specific distribution from observing the large number of repeated measurements for each subject and to determine how a set of covariates effects various aspects of the underlying subject-specific distribution, including the mean, median, variance, skewness, heavy-tailedness, and various upper and lower quantiles. To address these, we develop a quantile functional regression modeling framework that models the distribution of a set of common repeated observations from a subject through the quantile function. We demonstrate the benefit of the basis space modeling through simulation studies, and illustrate the method using a biomedical imaging data set in which we relate the distribution of pixel intensities from a tumor image to various demographic, clinical, and genetic characteristics