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Nodules that may represent lung cancer are often missed in chest X-rays by radiologists. Recording of eye movements during search for nodules provides insights into the search process. We develop a Hierarchical Bayes Hidden Markov Model (HMM) and analyze eye tracking data of sixteen laymen...
Persistent link: https://www.econbiz.de/10014037103
In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researchers in the behavioral and social sciences in the analysis of the effects of experimentally manipulated within- and between-subjects factors. The method alleviates several limitations of classical...
Persistent link: https://www.econbiz.de/10014037104
Can online display advertising help consumers to more successfully search for their preferred brands, and thus reduce the impact of competitive clutter on shopping sites? Moreover, if advertising indeed has such direct brand search benefits, which attentional mechanisms account for it? To answer...
Persistent link: https://www.econbiz.de/10014037105
With recent advances in information technology, most companies are amassing extensive customer databases. The wealth of information in these databases can be useful in identifying those customers most likely to purchase a new product and in predicting when this adoption may take place. This can...
Persistent link: https://www.econbiz.de/10014037610
Customer relationship management (CRM) typically involves tracking individual customer behavior over time, and using this knowledge to configure solutions precisely tailored to the customers’ and vendors’ needs. In the context of choice, this implies designing longitudinal models of choice...
Persistent link: https://www.econbiz.de/10014037617
Instead of the heuristic randomization methods to design split questionnaires that are currently used in applied and academic research, we develop a methodology to design the split questionnaire to minimize information loss. Because the number of possible questionnaire designs is exponential in...
Persistent link: https://www.econbiz.de/10014057369
Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and...
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