主题
Analysis of Grouped and Right-censored Count Data in Social Sciences
报告人
郭昕 博士（澳大利亚昆士兰大学）
时间
2025年11月24日（周一）14:00
地点
大学城校区院系楼152室
报告内容简介
Parameter and density estimation for count models are classical problems in statistics, and are widely used in many branches of physical and social sciences. Grouped and right-censored (GRC) counts are widely used in criminology, demography, epidemiology, marketing, sociology, psychology and other related disciplines to study behavioural and event frequencies, especially when sensitive research topics or individuals with possibly lower cognitive capacities are at stake. Yet, the co-existence of grouping and right-censoring poses major difficulties in regression analysis. To implement generalised linear regression of GRC counts, we derive modified Poisson estimators and their asymptotic properties, develop a hybrid line search algorithm for parameter inference, demonstrate the finite-sample performance of these estimators via simulation, and evaluate its empirical applicability based on survey data of drug use in America. This method has a clear methodological advantage over the ordered logistic model for analysing GRC counts.
报告人简介
Dr Xin Guo is a Senior Lecturer in Mathematical Data Science in the School of Mathematics and Physics at The University of Queensland. He received his BSc in Mathematics and Applied Mathematics from Beijing Normal University in 2006, followed by an MPhil and PhD from City University of Hong Kong in 2008 and 2011. He subsequently held research positions at City University of Hong Kong and Duke University before joining Hong Kong Polytechnic University. Dr Guo joined The University of Queensland in January 2022. His research focuses on statistical learning theory, mathematical data science, and their applications to artificial intelligence, immunological bioinformatics, systems biology, and computational social science.
数学与统计学院“前沿学术论坛”由广东外语外贸大学数学与统计学院发起创办，是数学统计学科高层次常态化学术交流平台。论坛不定期邀请国内外知名学者围绕数学统计国际前沿动态及热点研究领域展开交流与探讨，通过学术报告、学术沙龙、研讨会等形式为师生提供向国内外同行学习交流的机会，接触学术前沿，拓宽学术视野，激发学术热情，提升我校师生的创新能力。
