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学术报告:Fiducial generalized p-values for testing zero-variance components in linear mixed-effects models

时间:2019-10-09浏览:16

报告时间:20191010日日下午15:30-16:30

报告地点:雁山校区开元ky棋牌六楼608会议室

报告题目:Fiducial generalized p-values for testing zero-variance components in linear mixed-effects models

报告人:李新民 教授

报告摘要Linear mixed-effects models are widely used in analysis of longitudinal data. However, testing for zero-variance components of random effects has not been well-resolved in statistical literature, although some likelihood-based procedures have been proposed and studied. In this article, we propose a generalized p-value based method in coupling with fiducial inference to tackle this problem. The proposed method is also applied to test linearity of the nonparametric functions in additive models. We provide theoretical justifications and develop an implementation algorithm for the proposed method. We evaluate its finite-sample performance and compare it with that of the restricted likelihood ratio test via simulation experiments. We illustrate the proposed approach using an application from a nutritional study.

报告人先容:李新民,男,博士研究生,教授。青岛大学开元ky棋牌副院长,青岛大学统计与数据分析研究中心主任,青岛大学概率论与数理统计、统计学科负责人。2004年于中国科学院数学与系统科学研究院获博士学位。主要学术研究领域:复杂数据的统计推断、计算机试验、模型平均、生物统计、数据分析。先后主持了国家自然科学基金面上项目2项、山东省自然科学基金等省部级项目4项,并参与承担了国家自然科学基金3项。近年来,以第一名次获山东省高等学校优秀科技成果(自然科学)奖等若干项,在国内外重要期刊发表论文50多篇,其中SCI索引论文20余篇。主要学术兼职:中国现场统计研究会大数据分会常务理事,中国现场统计研究会试验设计分会常务理事,山东省应用统计学会常务理事,中国航空学会数据融合分会委员,青岛市大数据发展促进会专家咨询委员会科技教育组组长

参加报告人员要求:统计类老师,研究生,高年级本科生以及其他感兴趣的人员。

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