The authors propose a new Bayesian latent structure regression model with variable selection to solve various commonly encountered marketing problems related to market segmentation and heterogeneity. The proposed procedure simultaneously performs segmentation and regression analysis within the...

Kim, Fong, and DeSarbo (2012) recently introduced a finite mixture Bayesian regression model to simultaneously identify market segments of consumers (heterogeneity) and determine how such segments differ with respect to active regression coefficients (variable selection). The current manuscript...

Here we present a novel numerical method by exploiting periodicity to analyze a real-scale reverse electrodialysis (RED), including an unlimited number of microstructures and electrode segmentations. Flow and current distributions are calculated for a unit cell with on-demand adjustment of...