kaiyun開(kāi)云官方網(wǎng)站“創(chuàng)源”大講堂研究生學(xué)術(shù)講座海報(bào)

講座題目： Smoothed jackknife empirical likelihood method for ROC curves with missing data

報(bào)告人：    Dr. Yichuan Zhao, Georgia State University

主持人：    鄭海濤教授
講座時(shí)間：  2013年6月27日下午4:00

講座地點(diǎn)：  九里校區(qū)電氣館3215

內(nèi)容簡(jiǎn)介： In this talk, we apply smoothed jackknife empirical likelihood (JEL) method to construct confidence intervals for the receiver operating characteristic (ROC) curve with missing data. After using hot deck imputation, we generate pseudo-jackknife sample to develop jackknife empirical likelihood. Comparing to traditional empirical likelihood method, the smoothed JEL has a great advantage in saving computational cost. Under mild conditions, the smoothed jackknife empirical likelihood ratio converges to a scaled chi-square distribution. Furthermore, extensive simulation   studies in terms of coverage probability and average length of confidence intervals demonstrate this proposed method has the good performance in small sample sizes. A real data set is used to illustrate our proposed JEL method. This talk is based on joint work with Hanfang Yang.

主講人簡(jiǎn)介：

　　　Dr. Yichuan Zhao于2002年在佛羅里達(dá)州立大學(xué)統(tǒng)計(jì)系獲得哲學(xué)博士學(xué)位，現(xiàn)任美國(guó)佐治亞州立大學(xué)統(tǒng)計(jì)系教授。主要從事Survival Analysis, Empirical Likelihood Method, Nonparametric Statistics, Analysis of ROC Curves, Bioinformatics, Monte Carlo Methods 和 Statistical Modeling of Fuzzy Systems等方面的研究。現(xiàn)已發(fā)表數(shù)十篇高水平國(guó)際論文。他同時(shí)也是神經(jīng)科學(xué)研究所(Neuroscience Institute)準(zhǔn)會(huì)員和佐治亞州立大學(xué)PUHR的兼職教員。

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