2023
Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey
Ghosh A, Urry C, Mishra A, Perreault-Levasseur L, Natarajan P, Sanders D, Nagai D, Tian C, Cappelluti N, Kartaltepe J, Powell M, Rau A, Treister E. Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey. The Astrophysical Journal 2023, 953: 134. DOI: 10.3847/1538-4357/acd546.Peer-Reviewed Original ResearchSource codeMachine-learning algorithmsMachine-learning frameworkData setsTransfer learningEstimation networkPrevious stateProfile fitting algorithmReal dataNancy Grace Roman Space TelescopeRoman Space TelescopeLarge imaging surveysAlgorithmFitting algorithmUncertainty quantificationSimulations of galaxiesBayesian posteriorPosterior distributionExternal cataloguesFirst trainingSpace TelescopeGalaxy bulgesLight ratioSignificant improvementGalaxies
2018
Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence
Zhang H, Liu D, Zhao J, Bi X. Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence. The Annals Of Applied Statistics 2018, 12: 2359-2378. PMID: 30666272, PMCID: PMC6338437, DOI: 10.1214/18-aoas1156.Peer-Reviewed Original ResearchFull likelihoodComplicated likelihood functionsParametric frameworkParametric modeling frameworkHigh computational complexityExtensive simulation studyModel fitting algorithmStatistical inferenceRank-based methodLikelihood functionComputational burdenType I error ratesComputational complexityFitting algorithmSimulation studyNovel multivariate modelModeling frameworkEffect size estimationLatent variablesHybrid modelInferenceSize estimationModelFrameworkTheory
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