姓名：朱利平
职称：副教授
研究方向：数理统计、生物统计和计量经济学
教授课程：数理统计、时间序列和数据挖掘
E-mail：zhu.liping@mail.shufe.edu.cn
研究领域
大规模数据分析技术、充分降维方法、半参数回归模型、生物统计
教育经历
2001年6月获得华东师范大学理学学士学位；2006年6月获得华东师范大学理学博士学位。
研究成果
2007年
【1】Li-PingZHUandLi-XingZHU：OnKernelMethodforSlicedAverageVarianceEstimation，JournalofMultivariateAnalysis，98(5),970-991.
【2】Li-XingZHU、Li-PingZHUandXinLI：TransformedPartialLeastSquaresforMultivariateData,StatisticaSinica,17(4),1657-1676.
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2009年
【3】YuZHOU,Li-PingZHUandLi-XingZHU，OnSplinesApproximationforSlicedAverageVarianceEstimation,JournalofStatisticalPlanningandInference,139(4),1493-1505.
【4】Li-PingZhuandLixingZhu.NonconcavePenalizedInverseRegressioninSingle-IndexModelswithHighDimensionalPredictors,JournalofMultivariateAnalysis,100(5),862-875.
【5】Li-PingZhuandLixingZhu.OnDistribution-weightedpartialleastsquareswithdivergingnumberofhighlycorrelatedpredictors,JournaloftheRoyalStatisticalSociety,SeriesB.71(2),525-548.
【6】Li-PingZHUandLi-XingZHU,Dimension-ReductionforConditionalVarianceinRegressions,StatisticaSinica.19(2),869-883.
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2010年
【7】Li-PingZHU,Li-XingZHUandSongqiaoWen,Dimensionreductioninregressionswithmultivariateresponses,StatisticaSinica20(3),1291-1307.
【8】GaorongLI，Li-PingZHUandLixingZHU,Confidenceregionforthedirectioningeneralsingle-indexmodel,JournalofMultivariateAnalysis101(6),1364-1377.
【9】Li-PingZhu,ZhouYuandLixingZhu,Asparseeigen-decompositionestimationforsemi-parametricmodels.ComputationalStatisticsandDataAnalysis.54(4),976-986.
【10】Li-PingZhu,TaoWang，LixingZhu,andLouisFerre,Sufficientdimensionreductionthroughdiscretization-expectationestimation.Biometrika97(2),295-304.
【11】Yue-XiaoDONGandLi-PingZHU,Discussionof“Envelopemodelsforparsimoniousandefficientlinearregression”,StastiticaSinica20(3),993-995.
【12】Li-PingZHU,XiangrongYinandLixingZhuDimensionreductionviaanalternatinginverseregressionJournalofComputationalandGraphicalStatistics19(4),887-899.
【13】Li-PingZHU,LixingZhuandZhenghui-Feng,Dimensionreductioninregressionsthroughcumulativeslicingestimation.JournaloftheAmericanStatisticalAssociation.105(492),1455-1466.
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2011年
【14】Limei,Zhang,Li-PingZhu,LixingZHU,SufficientdimensionreductioninregressionsthroughcumulativeHessiandirections.StatisticsandComputing21(3),325-334.
【15】Le-XinLI,Li-PingZHUandLixingZHUInferenceonprimaryparameterofinterestwithaidofdimensionreductionestimation.JournaloftheRoyalStatisticalSociety,SeriesB.73(1),59-80.
【16】Li-PingZHU,Le-XinLI,RunzeLIandLixingZHU,Model-freefeaturescreeningforultrahighdimensionaldata.ToappearinJournaloftheAmericanStatisticalAssociation.
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2012年
【17】JunZhang,Li-PingZHUandLixingZhu,Onadimensionreductionregressionwithcovariateadjustment,JournalofMultivariateAnalysis104(1),39-55.
【18】Li-PingZHU,MianHUANGandRunzeLI,Semiparametricquantileregressionwithhigh-dimensionalcovariates.ToappearinStatisticaSinica.
【19】Li-PingZHU,TaoWANGandLixingZHU,Sufficientdimensionreductioninregressionwithmissingpredictors.ToappearinStatisticaSinica.
【20】YanyuanMAandLi-PingZHU,ASemiparametricApproachtoDimensionreduction.ToappearinJournaloftheAmericanStatisticalAssociation.
【21】YanyuanMAandLi-PingZHU,DoublyRobustandEfficientEstimatorsforHeteroscedasticPartiallyLinearSingle-IndexModelAllowingHigh-DimensionalCovariates.ToappearinJournaloftheRoyalStatisticalSocietySeriesB.
【22】YanyuanMAandLi-PingZHU,EfficiencyLossCausedbyLinearityConditioninDimensionReduction.ToappearinBiometrika.
【23】YanyuanMAandLi-PingZHU,EfficientEstimationinSufficientDimensionReduction.ToappearinAnnalsofStatistics.
【24】RunzeLi,WeiZHONGandLi-PingZHU,FeatureScreeningviadistancecorrelationlearning.ToappearinJournaloftheAmericanStatisticalAssociation.
【25】ZhouYU,Li-PingZHU,HengPENGandLi-XingZHU,DimensionReductionandPredictorSelectioninSemiparametricModels.ToappearinBiometrika.
