Ulf Böckenholt

McGill University - Desautels Faculty of Management

1001 Sherbrooke St. West

Montreal, Quebec H3A1G5 H3A 2M1

Canada

SCHOLARLY PAPERS

3

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Scholarly Papers (3)

Issues in the Estimation and Application of Latent Structure Models of Choice

Marketing Letters 5:4, (1994), pp. 323-334
Posted: 06 Jun 2016
Southern Methodist University (SMU) - Marketing Department, McGill University - Desautels Faculty of Management, Independent, Independent, Pennsylvania State University, Harvard Business School, Rice University, T. A. Pai Management Institute, University of Michigan at Dearborn and University of Texas at Austin

Abstract:

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latent structure models, discrete choice, finite mixture models

2.

Towards a Brain-to-Society Systems Model of Individual Choice

Marketing Letters, Volume 19, Issue 3, pp 323-336
Posted: 24 Jun 2016
McGill University - Desautels Faculty of Management, University of Southern California, McGill University - Desautels Faculty of Management, Columbia Business School - Marketing, McGill University - Division of Experimental Medicine, University of South Australia, Pennsylvania State University, McGill University - Division of Experimental Medicine, Brookings Institution - Center on Social and Economic Dynamics, NICHD, Duke University - Department of Psychology and Neuroscience, University of Montreal, McGill University - Department of Psychology, Tilburg University - Center and Faculty of Economics and Business Administration, Queen's University and Erasmus Research Institute of Management (ERIM)

Abstract:

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Choice models, Dual-process models, Agent systems, Sequential sampling process models, Motivated adaptive behavior, Neuroscience, Neuroeconomics

3.

Use of Formal Methods in Medical Decision Making

Posted: 08 Jan 2009
Ulf Böckenholt and Elke U. Weber
McGill University - Desautels Faculty of Management and Columbia Business School - Management & Psychology

Abstract:

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decision analysis, decision automation, decision trees, Bayes' theorem, sensitivity analysis, ROC analysis, formal modeling