1. A New Class Of Bayesian Segmentation Methods For Deriving Heterogeneous Key Drivers Of Service Quality Evaluations Open Access Author: Kim, Sunghoon Title: A New Class Of Bayesian Segmentation Methods For Deriving Heterogeneous Key Drivers Of Service Quality Evaluations Graduate Program: Business Administration Keywords: Bayesian RegressionMarket SegmentationVariable SelectionManagerial ConstraintsFinite Mixture ModelsHeterogeneity File: Download DissertationFinal_Sunghoon.pdf Committee Members: Wayne Desarbo, Dissertation Advisor/Co-AdvisorDuncan Fong, Committee Chair/Co-ChairDennis Kon Jin Lin, Committee MemberMurali Haran, Special MemberJohann Baumgartner, Committee Member
