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Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery
A study conducted by Vriens, Wedel, and Wilms (1996) and published in Journal of Marketing Research found that finite mixture (FM) conjoint models had the best overall performance of nine conjointExpand
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A Model of Consumer Learning for Service Quality and Usage
In many services (e.g., the wireless service industry), consumers choose a service plan according to their expected consumption. In such situations, consumers experience two forms of uncertainty.Expand
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Modeling Multiple Relationships in Social Networks
TLDR
We develop an integrated statistical framework for simultaneously modeling the connectivity structure of multiple relationships of different types on a common set of actors. Expand
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Towards a brain-to-society systems model of individual choice
Canonical models of rational choice fail to account for many forms of motivated adaptive behaviors, specifically in domains such as food selections. To describe behavior in such emotion- andExpand
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Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants
We define sources of heterogeneity in consumer utility functions relatedto individual differences in response tendencies, drivers of utility, formof the consumer utility function, perceptions ofExpand
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Dynamics of Musical Success : A Bayesian Nonparametric Approach
We model the dynamics of musical success of albums over the last half century with a view towards constructing musically well-balanced playlists. We develop a novel nonparametric Bayesian modelingExpand
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Exploiting the dynamic networking effects of the web
TLDR
This panel aims to explore the dynamic networking effects of the Web. Expand
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Association of HbA 1 C with Microalbuminuria in Type 2 Diabetes
Introduction: Microalbuminuria is often the first sign of renal dysfunction (nephropathy) in diabetes mellitus. The current study was aimed at determining the microalbuminuria levels in type 2Expand
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