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