Empirical demand functions (based on experimental studies, such as Choice Based Conjoint) are critical to many aspects of marketing, such as targeting and segmentation, setting prices and evaluating the potential of new products. While considerable work has been done on developing approaches for...

This manuscript introduces a new Bayesian finite mixture methodology for the joint clustering of row and column stimuli/objects associated with two-mode asymmetric proximity, dominance, or profile data. That is, common clusters are derived which partition both the row and column stimuli/objects...

We explore statistical commonalities among granular measures of market liquidity with the goal of illuminating systemwide patterns in aggregate liquidity. We calculate daily invariant price impacts described by Kyle and Obizhaeva [2014] to assemble a granular panel of liquidity measures for...

We revisit an investment experiment that compares the performance of an investor using Bayesian methods for determining portfolio weights with an investor that uses the Monte Carlo based resampling approach advocated in Michaud (1998). Markowitz and Usmen (2003) showed that the Michaud investor...