This article introduces Bayesian extension of ANOVA for the analysis of experimental data in consumer psychology. The approach, called BANOVA, addresses some common challenges that consumer psychologists encounter in their experimental work, and is specifically suited for the analysis of...

Because frequently random assignment is not feasible in educational studies, our understanding of causal effects of student characteristics on academic performance has made little progress over the years. Omitted variables inducing correlations between regressors and error terms in multilevel...

This research compares three strategies that ads can use to convey which product and brand they promote, and it tests how these affect consumer evaluation and the resulting attitudes towards the ad and brand, under exposure durations that range from brief to long. Upfront ads immediately convey...

We propose a general framework for dealing with endogeneity in models in marketing and economics. It consists of a multivariate, hierarchical, mixed discrete/continuous representation of behavioral response variables. Importantly, it includes a non-parametric approximation to unobserved sources...

We present an adaptive personalization system for personalizing news feeds on mobile devices. It learns from an individual's reading history, automatically discovers new material as a result of shared interests in the user's social network and adapts the news feeds shown to the user. We develop...

We propose a unifying framework for benefit and demographic segmentation based on the analysis of rank-order choice data collected in conjoint studies. The model identifies a number of unobserved segments, estimates the conjoint model within each segment, and at the same time estimates the...

The authors develop a class of mixtures of piece-wise exponential hazard models for the analysis of brand switching behavior. The models enable the effects of marketing variables to change nonproportionally over time and can, simultaneously, be used to identify segments among which switching and...

The authors address the situation in which a researcher wants to cross­ tabulate two sets of discrete variables collected in independent samples, but a subset of the variables is common to both samples. The authors propose a statistical data-fusion model that allows for statistical tests of...

In the last two decades, marketing databases have grown significantly in terms of size and richness of available information. The analysis of these databases raises several information-related and statistical issues. We aim at providing an overview of a selection of issues related to the...

We attempt to provide insights into how heterogeneity has been and can be addressed in choice modeling. In doing so, we deal with three topics: Models of heterogeneity. Methods of estimation and Substantive issues. In describing models we focus on discrete versus continuous representations of...