報(bào)告題目：Integrated Subgroup Identification from Multi-source Data
報(bào)告人：張偉平 教授
單位：中國(guó)科學(xué)技術(shù)大學(xué)
報(bào)告時(shí)間：2023 年10月21日（星期六）14:30-18:00
報(bào)告地點(diǎn)：翡翠湖校區(qū)科教樓A座1106
報(bào)告摘要：
Subgroup identification is crucial in dealing with the heterogeneous population and has wide applications in various areas, such as clinical trials and market segmentation. With the prevalence of multi-source data, there is a practical need to identify subgroups based on multi-source data. This paper proposes a working-independence pseudo-loglikelihood and integrates the parameters of each source into a pairwise fusion penalty for simultaneous parameter estimation and subgroup identification. We derive an alternating direction method of multipliers (ADMM) algorithm for its implementation. Furthermore, the weak oracle properties of parameter estimation are established, illustrating the latent subgroups can be consistently identified. Finally, we conduct numerical simulations and the analysis of a randomized trial on reduced nicotine standards for cigarettes to evaluate the performance of the proposed method.
報(bào)告人簡(jiǎn)介：
張偉平，中國(guó)科學(xué)技術(shù)大學(xué)教授、博導(dǎo)，任管理學(xué)院副院長(zhǎng)。中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)常務(wù)理事，全國(guó)工業(yè)統(tǒng)計(jì)教學(xué)研究會(huì)副會(huì)長(zhǎng)。近年來(lái)在縱向數(shù)據(jù)分析中的統(tǒng)計(jì)推斷方法、貝葉斯建模與計(jì)算、網(wǎng)絡(luò)數(shù)據(jù)分析等方面開(kāi)展研究，發(fā)表學(xué)術(shù)論文60多篇，其中4篇論文發(fā)表在統(tǒng)計(jì)學(xué)四大頂刊上。近五年主持了國(guó)家自然科學(xué)基金面上項(xiàng)目，參與國(guó)家自然科學(xué)基金委重點(diǎn)項(xiàng)目等。獲得安徽省教學(xué)名師，安徽省省級(jí)教學(xué)成果獎(jiǎng)特等獎(jiǎng)一項(xiàng)和一等獎(jiǎng)兩項(xiàng)。
TOP
