2022
Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data
Zhang J, Fan X, Li Y, Ma S. Heterogeneous Graphical Model for Non-Negative and Non-Gaussian PM2.5 data. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2022, 71: 1303-1329. DOI: 10.1111/rssc.12575.Peer-Reviewed Original ResearchNetwork-adaptive robust penalized estimation of time-varying coefficient models with longitudinal data
Fang K, Fan X, Ma S, Zhang Q. Network-adaptive robust penalized estimation of time-varying coefficient models with longitudinal data. Journal Of Statistical Computation And Simulation 2022, 92: 3045-3065. DOI: 10.1080/00949655.2022.2055758.Peer-Reviewed Original ResearchTime-varying coefficient modelsLikelihood-based estimationPenalization approachCoefficient modelStatistical modelPractical problemsNovel penaltyConsistency propertiesPractical performanceLoss functionNumerical studyLongitudinal dataEstimationNetwork structureNetwork connectivityConnection measuresModelData analysisRobustnessSimulationsInterconnectionProblemCovariatesField
2021
Conditional score matching for high-dimensional partial graphical models
Fan X, Zhang Q, Ma S, Fang K. Conditional score matching for high-dimensional partial graphical models. Computational Statistics & Data Analysis 2021, 153: 107066. DOI: 10.1016/j.csda.2020.107066.Peer-Reviewed Original ResearchConditional scoreComputational complexityMore general distributionsEffective computational algorithmGraphical modelsStatistical propertiesHigh computational costPartial graphsComputational algorithmComputational costNormalization constantsBreast cancer gene expression datasetsGeneral distributionNetwork constructionCancer gene expression datasetsMultiplicative normalizationMultivariate data analysisGene expression datasetsCompetitive performanceComplexityGraphData analysisModelConstruction approachExpression datasets
2019
Penalized Relative Error Estimation of a Partially Functional Linear Multiplicative Model
Zhang T, Huang Y, Zhang Q, Ma S, Ahmed S. Penalized Relative Error Estimation of a Partially Functional Linear Multiplicative Model. Contributions To Statistics 2019, 127-144. DOI: 10.1007/978-3-030-17519-1_10.Peer-Reviewed Original ResearchFinite sample performanceRelative error estimationTecator dataScalar responseLinear multiplicative modelsScalar variablesSample performanceFunctional predictorsError estimationBasis functionsMultiplicative modelConsistency propertiesLeast squaresLoss functionTrue structureRelative errorClassic methodsEstimationPenalizationModelFunctional dataSquaresSimulations