2016
Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method
Jiang Y, He Y, Zhang H. Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO Method. Journal Of The American Statistical Association 2016, 111: 355-376. PMID: 27217599, PMCID: PMC4874534, DOI: 10.1080/01621459.2015.1008363.Peer-Reviewed Original ResearchLeast angle regressionGeneralized linear modelPrior informationExtension of LassoLinear modelPopular statistical toolWhole solution pathAsymptotic theoryAngle regressionEstimate parametersVariable selectionSolution pathStatistical toolsCriterion functionLASSOLASSO methodReal dataSimulation resultsGreater robustnessVariables of interestMisspecificationEstimatorModelBiomedical studiesVariables
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