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
2006
Asymptotics for estimation and testing procedures under loss of identifiability
Zhu H, Zhang H. Asymptotics for estimation and testing procedures under loss of identifiability. Journal Of Multivariate Analysis 2006, 97: 19-45. DOI: 10.1016/j.jmva.2004.11.005.Peer-Reviewed Original ResearchLoss of identifiabilityTrue parameter valuesParameter pointsParameter valuesDifficult statistical problemStationary ARMA processesStatistical problemsQuadratic approximationParameter estimationTrue modelARMA processesParameter spaceLarge classObjective functionTesting statisticsIdentifiabilityHellinger distanceHypothesis testingUse of modelsSpecific examplesEstimationAsymptoticsApproximationStatistical analysisEstimator