Marketing researchers have become increasingly interested in spatial datasets. A main challenge of analyzing spatial data is that researchers must a priori choose the size and make-up of the areal units, hence the resolution of the analysis. Analyzing the data at a resolution that is too high...

Researchers often collect continuous consumer feedback (“moment-to-moment,” or MTM, data) to understand how consumers respond during a variety of experiences (ranging from viewing a TV show to undergoing a colonoscopy). Analyzing how MTM judgments are integrated into overall evaluations...

A sequence of bids in Internet auctions can be viewed as record-breaking events in which only those data points that break the current record are observed. We investigate stochastic versions of the classical record-breaking problem for which we apply Bayesian estimation to predict observed bids...

Stand-alone marketing models are well-suited to deal with different behavioral features such as variation in transaction frequency (customer heterogeneity with latent classes), recency and attrition (“buy ‘till you die” models), and more general changes in customer transaction rates...