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
2016
Energy bagging tree.
Cao T, Wang X, Zhang H. Energy bagging tree. Statistics And Its Interface 2016, 9: 171-181. PMID: 26594301, PMCID: PMC4648255, DOI: 10.4310/sii.2016.v9.n2.a5.Peer-Reviewed Original ResearchMeasures of dispersionMultivariate nonparametric regression problemReal data analysisNonparametric regression problemsGini’s mean differenceNon-parametric extensionExtensive simulation studyRegression problemsSimulation studyEnergy distanceComplex dataBagging treesRegression tree methodTree methodSample variationData analysisDispersion
2007
Guideline for data analysis of genomewide association studies.
Zhang H, Liu L, Wang X, Gruen JR. Guideline for data analysis of genomewide association studies. Cancer Genomics & Proteomics 2007, 4: 27-34. PMID: 17726238.Peer-Reviewed Original Research