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姓名 | 刘小惠 | 性别 | 男 |
|
出生年月 | 1982年09月 | 职务/职称 | 教授 | |
学历/学位 | 博士 | 博导/硕导 | 博导 | |
所学专业 | 数理统计 | 电子邮箱 |
学术研究领域
稳健统计;半参数与非参数统计;时间序列分析;统计计算;混合效应模型
荣誉称号和社会团体兼职
江西省青年井冈学者
讲授课程
本科生:概率论与数理统计,贝叶斯统计,数学分析,C/C++程序设计与统计软件基础,
非参数统计,多元统计分析
研究生:高等统计学(硕士),数理统计前沿问题,高维数据分析I、II(硕士、博士),
AdvancedStatistics(博士)
科研情况
目前已完成学术论文90余篇,其中:
已经过同行评议的论文
[80]Liu,Q.,Xia,C.,Liu,X.,(通讯作者)(2023).Limit
theoryforanAR(1)modelwithinterceptand
apossibleinfinitevariance.IndianJournalofPureand
AppliedMathematics.Accepted.
[79]Zhu,E.,Deng,Z.,Zhang,H.,Cao,J.,Liu,X.,(2023).
Asymptoticinferencesintherandomcoefficient
autoregressivemodelwithtime-functionalvariancenoises.
应用数学学报英文版.返修.
[78]Tan,X.,Peng,L.,Xiao,P.,Rizk,Z.,Liu,X.(通讯作
者),(2023).Expectiletraceregressionvialow-rank
andgroupsparsityregularization.Statistics.Subject
torevision.
[77]Li,C.,Xiao,P.,Ying,C.,Liu,X.(通讯作者),(2023).
SlicedAverageVarianceEstimationforTensor
Data.应用数学学报英文版.返修.
[76]Liu,Q.,Zhang,J.,Liu,X.(通讯作者),Hu,Z.,2023.
Bahadurrepresentationsforthebootstrapmedian
absolutedeviationandtheapplicationtoprojectiondepth
weightedmean.Metrika.Subjecttorevision.
[75]刘小惠,范雅文,赵涵,范东慧,2023.基于随机加权自助法
的市场弱势有效性检验.数理统计与管理.已返修.
[74]Chen,L.,Liu,X.,Peng,L.,Zhu,F.,2023.UnifiedInferenceforanInteger-valued
AR(1)Model.CommunicationsinStatistics-TheoryandMethods.Subjecttorevision.
[73]Liu,X.(共同一作),Peng,L.(共同一作),Li,H.,Liu,Y.,2023.Testingforserialcorrelation
inpredictiveregressionmodelswithoutrestrictingthe
propertiesofpredictors.JournalofFinancial
Econometrics.Subjecttorevision.
[72]Zhang,J.,Li,B.,Wang,Y.,Liu,X.
(通讯作者),Peng,P.,2023.Empiricallikelihoodunifiesthestableandunstableinteger
valuedAR(1)models.JournalofStatisticalPlanningandInference.Subjecttorevision.
[71]Liu,X.,Rizk,Z.(学生),Peng,L.,Zhou,Y.,Lian,H.,2022.
GeneralizedFunctionalAdditiveModelsinReproducingKernelHilbertSpaces.
StatisticsandItsInferface.Subjecttorevision.
[70]RaoY.,Fan,Y.(学生),Ao,H.,(学生),Liu.,X.(通讯作者),
2022.Anewportmanteautestforpredictiveregressionmodelswithpossibleembeddedendogeneity.
JournalofTimeSeriesAnalysis.Revised.
[69]Yang,B.,Long,W.,Liu,X.,Peng,L.,2022.AUnifiedPredictabilityTestUsingWeightedInference
AndRandomWeightedBootstrap.JournalofBusiness&EconomicStatistics.Revised.
[68]Luo,S.,Wang,D.,Dai,Y.,Liu,X.,2023.GratedRecurrentUnitNetworkQuantile
RegressionforSiliconContentPredictioninBlastFurnace.ISIJInternational.63(11).
[67]Fan,Y.(学生),Liu,X.,Cao,Y.(学生),Liu,S.(学生),
2023.JackknifeempiricallikelihoodbaseddiagnosticcheckingforAR(p)models
.ComputationalStatistics.https://doi.org/10.1007/s00180-023-01385-x.
[66]Liu,Y.(学生),Peng,L.,Liu,Q.,Lian,H.,Liu,X.(通讯作者),
2023.FunctionaladditiveexpectileregressioninthereproducingkernelHilbertspace.
JouranlofMultivariateAnalysis.Inpress.
[65]Liu,X.,Chen,H.,Ma,X.,Yu,H.,Yang,H.,AiL.,LiuQ.,WuL.,2023.
Theretrospectivedataanalysisonthespectrumofnervoussystemdiseasesinchildren
.ScientificReports.Inpress.
[64]Tan,X.,Peng,L.,Xiao,P.,Liu,Q.,Liu,X.(通讯作者),
2023.Optimalconvergencerateforsparseandlow-rankquantiletraceregression.JournalofComplexity.Onlinefirst.
https://www.sciencedirect.com/science/article/abs/pii/S0885064X2300047X
[63]Fan,Y.(学生),Liu,X.,Luo,T.,Rao,Y.,Li,H.(学生),
2023.TestingSerialCorrelationinaGenerald-factorModelwithPossibleInfiniteVariance.
JournalofAppliedStatistics.10.1080/02664763.2023.2231175.
[62]Yang,B.,Liu,X.,Long,W.,Peng,L.,2022.AUnifiedUnitRootTestRegardlessofIntercept.
EconometricReviews.AcceptedforPublication.
[61]Ding,J.,Jiang,L.,Liu,X.,Peng,L.2023.NonparametricTests
ForMarketTimingAbilityUsingDailyMutualFundReturns.
JournalofEconomicDynamicsandControl.https://doi.org/10.1016/j.jedc.2023.104635.
[60]Liu,X.,Long,W.,Peng,L.,Yang,B.,2023.AUnifiedInferenceforPredictiveQuantileRegression.
JournaloftheAmericanStatisticalAssociation.已录用.
[59]李传权,方岚然(学生),苏琦(学生),刘小惠,盛积良,2023.基于复杂网络的开源软件生态系统研究–以R软件为例,系统科学与数学.录用.
[58]Zhang,J.,Li,B.,Liu,X.,Wan,X.(学生),2023.
Asymptoticbehavioroftheportmanteautestsinaninteger-valuedARmodel.JournalofNonparametricStatistics,
https://doi.org/10.1080/10485252.2023.2175594.
[57]Wei,X.(学生),Liu,X.,Fan,Y.(学生),Tan,L.,LiuQ.,
2022.AunifiedtestfortheARerrorstructureofanautoregressivemodel
.Axioms.11(12),690,https://doi.org/10.3390/axioms11120690.
[56]Wang,Q.(学生),Liu,X.,Fan,Y.(学生),Peng,L.,2022.
TestingtheInterceptofaBalancedPredictiveRegressionModel.Entropy,2022,24,1594.
[55]Liu,Y.(学生),Liu,X.,Pan,Y.(学生),Jiang,J.,Xiao,P.(学生).Anempiricalcomparisonofvarious
MSPEestimatorsandassociatedpredictionintervalsforsmallareameans,JournalofStatistical
ComputationandSimulation,10.1080/00949655.2022.2144854.
[54]李传权,马海强,刘小惠,刘育孜(学生),2022.基于Huber损失的稳健张量回归及其应用.数理统计与管理.录用.
[53]Liu,X.,Fan,Y.(学生),Liu,Y.(学生),Luo,S.,2022.
AUnitRootTestforanAR(1)ProcesswithAErrorsbyUsingRandomWeightedBootstrap.数学学报,录用.
[52]Liu,X.,Fan,D.(学生),Zhang,X.,Liu,C.,2022.Empiricallikelihood-basedportmanteautests
forautoregressivemovingaveragemodelswithpossibleinfinitevariance.StatisticsandItsInterface.InPress.
[51]程宏波,钟文帆,陈艳华,李加加,刘小惠,2022.一种基于Lasso理论的牵引
变电所接地网腐蚀诊断方法.铁道学报,录用.
[50]Li,H.(学生),Liu,X.,Chen,Y.(学生),Fan,Y.(学生),2022.
TestingforserialcorrelationinautoregressiveexogenousmodelswithpossibleGARCHerrors.Entropy.24,1076.
[49]Peng,L.,Tan,X.,Xiao,P.(学生),Rizk,Z.(学生),Liu,X.(通讯作者),2022.
Oracleinequalityforsparsetraceregressionmodelswithexponentialbeta-mixingerrors.数学学报英文版,在线发表.
[48]刘小惠,李园园(学生).2022.回归深度函数的一般概念.应用数学学报.2022,5:461-482.
[47]Yang,Y.,Fan,Y.(学生),Jiang,L.,Liu,X.(通讯作者),2022.Searchqueryandtourismforecastingduringthepandemic
:Whenandwherecandigitalfootprintsbehelpfulaspredictors?AnnalsofTourismResearch.93,103365.
[46]Wang,L.,Zhang,J.,Li,B.,Liu,X.,2022.Quantiletraceregressionvianuclearnormregularization.
StatisticsandProbabilityLetters,Volume182,March2022.
[45]Liu,X.,Wang,L.,Ma,X.(麻先思),Wang,J.(王婕雯),Wu,L.,2021.
ModelingtheeffectofageonquantilesoftheincubationperioddistributionofCOVID-19.BMCPublicHealth,21:1762(2021).
[44]刘育孜(学生),曲维荣,崔珍,刘小惠(通讯作者),徐文婧(学生),蒋继明,2021.基于分类混合效应模型预测方法和卫星遥感数据的农作物面积估算.数理统计与管理.10.13860/j.cnki.sltj.20211130-027.
[43]罗婷(学生),刘小惠,程宏波.Elastic-Net变量选择及其在配网投资决策中的应用.电力系统保护与控制.49(23):1-8,2021.
[42]Yang,G.,Liu,X.,Lian,H.,2021.Optimalprediction
forhigh-dimensionalfunctionalquantileregression
inreproducingkernelHilbertspaces.JournalofComplexity.
Volume66,October2021,101568.
[41]Liu,X.,Ma,H.,Jiang,J.,2022.ThatPrasad-Raois
Robust:EstimationofMeanSquaredPrediction
ErrorofObservedBestPredictorunderPotentialModel
Misspecification,StatisticaSinica,32,2217-2240.
[40]Liu,X.,Lu,W.,Lian,H.,Liu,Y.(学生),Zhong,Z.Y.
2022,PartiallyLinearAdditiveFunctional
Regression,StatisticaSinica,32,2199-2216.
[39]Liu,X.,Wang,Y.(学生),Fan,Y.(学生),Liu,Y.
(学生),Statisticalinferencesforapartially
linearmodelwithautoregressionerrors,Acta
MathematicaeApplicataeSinica(EnglishSeries),
2022,38:1-22.
[38]Liu,X.,Li,Y.,Jiang,J.,SimpleMeasuresof
UncertaintyforModelSelection.
Test,2020,https://link.springer.com/article/10.1007/s11749-020-00737-9.
[37]Liu,X.,Ma,H.,Jiang,J.,AssessingUncertaintyin
SmallAreaEstimationInvolvingModel
Misspecification:AOne-bring-oneRoute,中国科学数学,2020,
10.1007/s11425-020-1797-4.
[36]Liu,X.,Liu,Y.(学生),Rao,Y.,Lu,F.,Aunified
testfortheinterceptofapredictiveregression
model,OxfordBulletinofEconomicsandStatistics.2021,
83:571-588.
[35]Yuan,Y.F.,Liu,X.,Chen,Y.(学生),Dong,Y.(学
生),Liu,Y.(学生),Onsimilarityofthesample
projectiondepthcontoursanditsapplication.Communications
inStatistics-TheoryandMethods,
DOI:10.1080/03610926.2020.1802651.
[34]Liu,X.,Liu,Y.(学生),Lu,F.,Empirical
likelihood-baseduniformconfidenceregionfora
predictiveregressionmodel,Communicationin
Statistics:SimulationandComputation,
2020+,10.1080/03610918.2019.1670841.
[33]Yang,B.,Liu,X.,Peng,L.,Cai,Z.,UnifiedTests
foraDynamicPredictiveRegression,
JournalofBusiness&EconomicStatistics,2021,39:684-699.
[32]Rahman,J.(学生),Luo,S.,Fan,Y.(学生),Liu,X.
SemiparametricEfficientInferences
forGeneralisedPartiallyLinearModels,Journalof
NonparametricStatistics.2020,32,704-724.
[31]刘小惠,何阳(学生),麻先思(学生),罗良清.有关新冠肺
炎潜伏期和疑似期的统计数据分析:基于湖北省外2172
条确诊数据.应用数学学报.2020,43:278-294.
[30]Huang,H.,Leng,X.,Liu,X.,Peng,L.,Unified
InferenceforanARProcesswithPossibleInfinite
VarianceGARCHErrors,JournalofFinancial
Econometrics,2020,18,425-470.
[29]Liu,X.,Luo,S.,Zuo,Y.,Someresultsonthe
computingofTukey’shalfspacemedian,Statistical
papers,2020,61(1),303-316.
[28]Liu,X.,He,Y.(学生),RR-plot:Adescriptivetool
forregressionobservations,JournalofApplied
Statistics,2020,47:76-90.
[27]范雅文(学生),刘小惠,预测回归模型序列相关性的
Jackknife经验似然比检验.系统科学与数学.
2019,39:1471-1485.
[26]Liu,X.,Mosler,K.,Mozharovskyi,P.,Fast
computationofTukeytrimmedregionsandmedianin
dimensionp>2,JournalofComputationaland
GraphicalStatistics,2019,28,682-697.
[25]Liu,X.,Rahman,J.(学生),Luo,S.,
Generalizedandrobustifiedempiricaldepthsformultivariatedata,
StatisticsandProbabilityLetters,2019,146,70-76.
[24]Liu,X.,Yang,B.,Cai,Z.,Peng,L.,AUnifiedTestforPredictabilityof
AssetReturnsRegardlessofPropertiesofPredictingVariables,
JournalofEconometrics,2019,208,141-159.
[23]Liu,X.,Peng,L.,AsymptoticTheoryandUnifiedConfidenceRegionForAnAutoregressiveModel,
JournalofTimeSeriesAnalysis,2019,40,43-65.
[22]Liu,Y.,Liu,X.,Testingconditionalindependencewithdatamissingatrandom.
AppliedMathematics-AJournalofChineseUniversities,2018,33,298-312.
[21]LiuY.,Wang,Q.,Liu,X.,Testingconditionalindependenceviaintegrating-uptransform,Statistics,2018,52,734-749.
[20]Liu,X.,Luo,S.,Zuo,Y.,ThelimitoffinitesamplebreakdownpointofTukey’
shalfspacemedianforgeneraldata,ActaMathSinica(SCI),2018,34,1403-1416.
[19]Liu,X.,Zuo,Y.,Wang,Q.H.,FinitesamplebreakdownpointofTukey’shalfspacemedian
.ScienceChinaMathematics,2017,60,861–874.
[18]Liu,X.(2017).FastimplementationoftheTukey
depth.ComputationalStatistics,32(4),1395-1410.
[17]Liu,X.,Approximatingprojectiondepthmedianinhigherdimensions,
CommunicationinStatistics:SimulationandComput-ation,2017,46,3756-3768.
[16]Liu,X.,Wang,Q.,LiuY.,Aconsistentjackknifeempiricallikelihoodtestfordistributionfunctions,
AnnalsoftheInstituteofStatisticalMathematics,2017,69,249–269.
[15]Liu,X.,Empiricallikelihoodfortheresponsemeanofgeneralizedlinearmodelswithmissingatrandomresponses
,CommunicationinStatistics:SimulationandComputation,2017,46,164-173.
[14]Guo,W.,Liu,X.,Zhang,S.,ThePrincipalCorrelationComponentsEstimatoranditsOptimality,
StatisticalPapers,2016,57,755-779.
[13]Liu,X.,Luo,S.,Askewness-adaptiveprojectiondepth,ActaMathematicaSinica,
ChineseSeries(数学学报中文版,国内A),2015,58,1-14.
[12]Liu,X.,YijunZuo.CompPD:AMATLABPackagefor
ComputingProjectionDepth,JournalofStatistical
Software(SCI2017影响因子22.737),2015,65(2),1-21.
[11]Liu,X.,Ren,H.,Wang,G.,Computinghalfspacedepthcontoursbasedontheideaofacircularsequence,
JournalofSystemsScienceandComplexity,2015,28,1399-1411.
[10]Liu,X.,Empiricallikelihood-basedinferencesinvaryingcoefficientmodelswithmissingdata,
ActaMathematicaeApplicataeSinica,EnglishSeries,2015,31:823-840
[9]Liu,X.,Zuo,Y.,Computingprojectiondepthanditsassociatedestimators,StatisticsandComputing,
2014,24:51-63.
[8]Liu,X.,Zuo,Y.,Computinghalfspacedepthandregressiondepth.CommunicationinStatistics:
SimulationandComputation,2014,43:969-985.
[7]Liu,X.,Zuo,Y.,Wang,Z.,Exactlycomputingbivariateprojectiondepthcontoursandmedian,
ComputationalStatisticsandDataAnalysis,2013,60:1-11.
[6]Hu,X.,Liu,X.,Empiricallikelihoodconfidenceregionsforsemivaryingcoefficientmodelswithlinearprocesserrors.
JournalofNonparametricStatistic,2013,25:161-180.
[5]Wang,G.,Wang,Z.,Liu,X.,Empiricallikelihoodforcensoredpartiallinearmodelbasedonimputedvalue.
CommunicationinStatistics:TheoryandMethods,2013,42:644-659.
[4]Liu,X.,Hu,X.,Wang,G.,Li,B.,Zerofinite-orderserialcorrelationtestinpartiallylinearsingleindexmodels,
JournalofSystemsScienceandComplexity,2012,25(6):1185-1201.
[3]Liu,X.,Wang,Z.,Hu,X.,Estimationinpartiallylinearsingleindexmodelswithmissingcovariates.
CommunicationinStatistics:TheoryandMethods,2012,41(18):3428-3447.
[2]Liu,X.,Wang,Z.,Hu,X.,Testingheteroscedasticityinpartiallylinearmodelswithmissingcovariates.
JournalofNonparametricStatistics,2011,23(2):321-337.
[1]Liu,X.,Wang,Z.,Hu,X.,Wang,G.,Testingserialcorrelationinpartiallylinearsingle-indexerrors-in-variablesmodels.
CommunicationinStatistics:TheoryandMethods,2011,40(14):2554-2573.
获奖情况
其它情况
项目情况:
先后主持国家自然科学基金-地区项目、青年项目、面上项目各一项;中国博士基金项目一等资助一项,特别资助一项;江西省自然科学基金青年项目、面上项目、青年重大项目各一项,江西省教育厅青年项目、重点项目各一项;第五批(2014年度)江西财经大学优秀青年术人才支持计划项目一项。
曾为下列杂志审稿人:
CommunicationinStatistics:Simulationandcomputation;
CommunicationinStatistics:TheoryandMethod;
StatisticsandProbabilityLetters;
ComputationalStatisticsandDataAnalysis;
InternationalJournalofComputerMathematics;
JournalofAppliedStatistics;
OpenJournalofStatistics;
系统科学与数学;
Kybernetika-InternationaljournalpublishedbyInstituteofInformationTheoryandAutomation;
Statisticalpapers;
AnnalsoftheInstituteofStatisticalMathematics;
TheCanadianJournalofStatistics
JournalofAmericanStatisticalAssociation
JournalofStatisticalComputationandSimulation
数学物理学报英文版
中国科学数学
StatisticaSinica
StatisticsandItsInterface
Statistics
JournaloftheKoreanStatisticalSociety
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