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報告題目：IDENTIFICATION OF INFLUENCING FACTORS ON SELF-REPORTED COUNT DATA WITH MULTIPLE POTENTIAL INFLATED VALUES

主講人：李揚教授（中國人民大學）

時間：2024年7月13日（周六）16:00 p.m.

地點：北院卓遠樓305會議室

主辦單位：統計與數學學院

摘要：The Online Chauffeured Service Demand (OCSD) research is an exploratory market study of designated driver services in China. Researchers are interested in the influencing factors of chauffeured service adoption and usage and have collected relevant data using a self-reported questionnaire. As self-reported data of count measure is typically inflated, there exist challenges to its validity, which may bias estimation and increase error in empirical research. Motivated by the analysis of self-reported data with multiple inflated values, we propose a novel approach to simultaneously achieve data-driven inflated value selection and identification of important influencing factors. In particular, the regularization technique is applied to the mixing proportions of inflated values and the regression parameters to obtain shrinkage estimates. We analyze the OCSD data with the proposed approach, deriving insights into the determinants impacting service demand. The proper interpretations and implications contribute to service promotion and related policy optimization. Extensive simulation studies and consistent asymptotic properties further establish the effectiveness of the proposed approach.

主講人簡介：

李揚，中國人民大學吳玉章特聘教授、博士生導師，學校交叉科學學術委員會副主任、學校學位評定委員會委員，入選國家級青年人才項目；擔任國際統計學會Elected Member、中國商業統計學會副會長、中國統計學會常務理事、中國現場統計研究會常務理事、北京生物醫學統計與數據管理研究會監事長等；主要從事模型選擇與不確定性評價、復雜調查設計與分析、潛變量建模、試驗設計與推斷等領域研究，在國內外知名期刊發表論文八十余篇，承擔國家自然科學基金、教育部重大項目、全國統計科學研究重大項目等。