Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth–death processes
Crawford FW, Weiss RE, Suchard MA. Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth–death processes. The Annals Of Applied Statistics 2015, 9: 572-596. PMID: 26500711, PMCID: PMC4617556, DOI: 10.1214/15-aoas809.Peer-Reviewed Original ResearchLongitudinal count dataImportant statistical problemSelf-reported countsBayesian mixture modelBirth-death processStatistical problemsBayesian hierarchical modelTrue distributionCount dataMixture modelInferential tasksHierarchical modelHeaping processParametersMultiplesModelInferenceEstimationDistributionGridProblemError