2013
Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions
Li S, Batterman S, Su F, Mukherjee B. Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment 2013, 77: 464-473. PMID: 24348086, PMCID: PMC3857711, DOI: 10.1016/j.atmosenv.2013.05.004.Peer-Reviewed Original ResearchFinite mixture of normalsDirichlet process mixtureMixtures of normalsDirichlet process mixtures of normalsFinite mixtureHeavy tailsDirichlet process mixture methodsMethod detection limitsComprehensive simulation studyDistributions of VOC concentrationsProcess mixtureStandard model assumptionsPosterior distributionEmpirical densityNormal distributionSimulation studyGoodness-of-fit criteriaVolatile organic compoundsDensity estimationGoodness-of-fitDensity estimation methodCensoringConvergence issuesExposure dataEstimation method
2010
Bayesian and likelihood-based inference for the bivariate normal correlation coefficient
Ghosh M, Mukherjee B, Santra U, Kim D. Bayesian and likelihood-based inference for the bivariate normal correlation coefficient. Journal Of Statistical Planning And Inference 2010, 140: 1410-1416. DOI: 10.1016/j.jspi.2009.11.013.Peer-Reviewed Original ResearchAsymptotic matching of coverage probabilities of Bayesian credible intervalsCoverage probabilities of Bayesian credible intervalsHighest posterior density matchingInversion of test statisticsCredible intervalsLikelihood-based inferenceBayesian credible intervalsBivariate normal distributionLikelihood-based methodsTest statisticsNormal distributionQuantile matchingSimulation studyAsymptotic matchingDensity matchingInferencePriorsIntervalMatching criterionCoefficientProbability