報(bào)告人：李忠華 教授

報(bào)告題目：A Unified Diagnostic Framework via Symmetrized Data Aggregation

報(bào)告時(shí)間：2025年11月7日（周五）14:00-15:00

報(bào)告地點(diǎn)：云龍校區(qū)6號(hào)樓304會(huì)議室

主辦單位：數(shù)學(xué)與統(tǒng)計(jì)學(xué)院、數(shù)學(xué)研究院、科學(xué)技術(shù)研究院

報(bào)告人簡(jiǎn)介：

李忠華，南開(kāi)大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)學(xué)院教授，曾受邀訪(fǎng)問(wèn)美國(guó)北卡羅萊納大學(xué)教堂山分校、明尼蘇達(dá)大學(xué)等。研究方向?yàn)榻y(tǒng)計(jì)質(zhì)量控制、變點(diǎn)、高維統(tǒng)計(jì)推斷、網(wǎng)絡(luò)數(shù)據(jù)分析等。合作出版專(zhuān)著1本，發(fā)表學(xué)術(shù)論文50余篇?，F(xiàn)任中國(guó)數(shù)學(xué)會(huì)概率統(tǒng)計(jì)分會(huì)副秘書(shū)長(zhǎng)、中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)研究會(huì)統(tǒng)計(jì)學(xué)歷史與文化分會(huì)副理事長(zhǎng)、中國(guó)優(yōu)選法統(tǒng)籌法及經(jīng)濟(jì)數(shù)學(xué)學(xué)會(huì)工業(yè)工程分會(huì)常務(wù)理事、全國(guó)工業(yè)統(tǒng)計(jì)學(xué)教學(xué)研究會(huì)理事、國(guó)際質(zhì)量工程期刊Quality Engineering編委、美國(guó)Mathematical Reviews評(píng)論員等。

報(bào)告摘要：

In statistical process control (SPC) of high-dimensional data streams, besides online monitoring of abnormal changes, fault diagnosis of responsible components has become increasingly important. In this talk, we introduce a new procedure to control the false discovery rate (FDR) of fault diagnosis. The proposed method formulates the fault diagnosis as a variable selection problem and utilizes the symmetrized data aggregation (SDA) technique via sample splitting, data screening, and information pooling to control the FDR. Under some mild conditions, we show that the proposed method can achieve FDR control asymptotically. Extensive numerical studies and real-data examples demonstrate satisfactory FDR control and remarkable diagnostic power in comparison to existing methods.