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報(bào)告題目：IDENTIFICATION OF INFLUENCING FACTORS ON SELF-REPORTED COUNT DATA WITH MULTIPLE POTENTIAL INFLATED VALUES

主講人：李揚(yáng)教授（中國人民大學(xué)）

時(shí)間：2024年7月13日（周六）16:00 p.m.

地點(diǎn)：北院卓遠(yuǎn)樓305會(huì)議室

主辦單位：統(tǒng)計(jì)與數(shù)學(xué)學(xué)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(yáng),，中國人民大學(xué)吳玉章特聘教授,、博士生導(dǎo)師,，學(xué)校交叉科學(xué)學(xué)術(shù)委員會(huì)副主任,、學(xué)校學(xué)位評(píng)定委員會(huì)委員,，入選國家級(jí)青年人才項(xiàng)目；擔(dān)任國際統(tǒng)計(jì)學(xué)會(huì)Elected Member,、中國商業(yè)統(tǒng)計(jì)學(xué)會(huì)副會(huì)長,、中國統(tǒng)計(jì)學(xué)會(huì)常務(wù)理事、中國現(xiàn)場統(tǒng)計(jì)研究會(huì)常務(wù)理事,、北京生物醫(yī)學(xué)統(tǒng)計(jì)與數(shù)據(jù)管理研究會(huì)監(jiān)事長等,；主要從事模型選擇與不確定性評(píng)價(jià)、復(fù)雜調(diào)查設(shè)計(jì)與分析,、潛變量建模,、試驗(yàn)設(shè)計(jì)與推斷等領(lǐng)域研究，在國內(nèi)外知名期刊發(fā)表論文八十余篇,，承擔(dān)國家自然科學(xué)基金,、教育部重大項(xiàng)目、全國統(tǒng)計(jì)科學(xué)研究重大項(xiàng)目等,。