Featured Publications
Conditional Functional Graphical Models
Lee K, Ji D, Li L, Constable T, Zhao H. Conditional Functional Graphical Models. Journal Of The American Statistical Association 2021, 118: 257-271. PMID: 37193511, PMCID: PMC10181795, DOI: 10.1080/01621459.2021.1924178.Peer-Reviewed Original ResearchMultivariate random functionsFunctional graphical modelNew linear operatorMultivariate functional dataGraph structureConditional graphical modelGraphical modelsLinear operatorsGraphical modelingRandom functionPrecision matrixPrecision operatorCorresponding estimatorsUniform convergenceConditional graphFunctional settingGraph sizeCorrelation operatorPartial correlation matrixNonzero elementsConditioning setCorrelation matrixOperatorsGraphBrain functional connectivity networks
2020
A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures
Jiang W, Song S, Hou L, Zhao H. A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures. The American Statistician 2020, 75: 310-322. DOI: 10.1080/00031305.2020.1816213.Peer-Reviewed Original ResearchHigh-dimensional binary dataCommon correlation structuresCorrelation structureTime complexityUnequal probabilityStatistical methodsGeneral correlation matricesCorrelated binary dataBinary dataQuadratic time complexityMonte Carlo methodCorrelation matrixData simulationLinear time complexityIncrease of dimensionCarlo methodData generationEfficient algorithmTime costValidity conditionsComplexity methodBinary variablesSimulation methodR packageAlgorithm