2024
Estimation of multiple networks with common structures in heterogeneous subgroups
Qin X, Hu J, Ma S, Wu M. Estimation of multiple networks with common structures in heterogeneous subgroups. Journal Of Multivariate Analysis 2024, 202: 105298. PMID: 38433779, PMCID: PMC10907012, DOI: 10.1016/j.jmva.2024.105298.Peer-Reviewed Original ResearchGaussian graphical modelsMultiple networksGraphical modelsSparse regression problemHigh-dimensional data analysisNetwork estimationMinimax concave penaltyLarge-scale dataRegularized likelihoodJoint estimation approachRegression problemSelection consistency propertyConcave penaltyComplex dependence structureNetworkBreast cancer dataConsistency propertiesConvexity propertiesTCGA breast cancer dataNetwork identificationReparameterization techniqueEstimation approachDistributional assumptionsDependence structureBiological networks
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 Research
2021
Promote sign consistency in the joint estimation of precision matrices
Zhang Q, Ma S, Huang Y. Promote sign consistency in the joint estimation of precision matrices. Computational Statistics & Data Analysis 2021, 159: 107210. DOI: 10.1016/j.csda.2021.107210.Peer-Reviewed Original ResearchMultiple precision matricesPrecision matrixRegularization methodJoint estimationGroup parametersSign consistencyConsistency propertiesGaussian graphical modelsNovel regularization methodHigh-dimensional dataRandom variablesSparsity structureData examplesMore interpretable resultsNatural interpretationConditional independenceInterpretable resultsGraphical modelsPractical examplesEstimationConflicting signsPopular toolMatrixParametersFull flexibilityConditional 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