2024
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Deng S, Ning Y, Zhao J, Zhang H. Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning. Journal Of The American Statistical Association 2024, ahead-of-print: 1-12. DOI: 10.1080/01621459.2023.2277409.Peer-Reviewed Original ResearchSemi-supervised estimatorConditional mean functionMean functionSupervised estimationParameters of linear modelsSemi-supervised learningRegression parametersEstimation problemLinear modelSupplementary materialsTheoretical resultsParameter estimationSemi-supervised settingUnlabeled dataLabeled dataEstimationMinimaxMisspecificationNumerical simulationsDataFunctionLearningProblemData analysis
2015
Conditional Distance Correlation
Wang X, Pan W, Hu W, Tian Y, Zhang H. Conditional Distance Correlation. Journal Of The American Statistical Association 2015, 110: 1726-1734. PMID: 26877569, PMCID: PMC4749041, DOI: 10.1080/01621459.2014.993081.Peer-Reviewed Original ResearchMultivariate random variablesThird random variableRandom variablesSample versionReal data analysisDesirable theoretical propertiesStatistical inferenceConditional dependenceRandom kernelsTheoretical propertiesArbitrary dimensionImportant practical utilityU-processesTest statisticConditional independenceGraphical modelsNumerical simulationsDistance correlationIntuitive propertiesMonotonic functionSample measuresNonparametric measuresPractical utilityDependenceVariables