Geert De Soete

Ghent University-Universiteit Gent

Coupure Links 653

Gent, 9000

Belgium

SCHOLARLY PAPERS

14

DOWNLOADS

92

CITATIONS
Rank 43,825

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Top 43,825

in Total Papers Citations

7

Scholarly Papers (14)

1.

A New Stochastic Multidimensional Unfolding Model for the Investigation of Paired Comparison Consumer Preference/Choice Data

Journal of Economic Psychology, Volume 8, Issue 3, Pages 357-384, 1987
Number of pages: 28 Posted: 27 May 2016
Wayne S. DeSarbo, Geert De Soete and J. Eliashberg
Pennsylvania State University, Ghent University-Universiteit Gent and University of Pennsylvania - Marketing Department
Downloads 15 (543,568)
Citation 1

Abstract:

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2.

The Wandering Ideal Point Model: A Probabilistic Multidimensional Unfolding Model for Paired Comparisons Data

JOURNAL OF MATHEMATICAL PSYCHOLOGY 30, pp. 28-41, 1986
Number of pages: 14 Posted: 25 May 2016
Geert De Soete, J. Carroll and Wayne S. DeSarbo
Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and Pennsylvania State University
Downloads 11 (567,590)
Citation 4

Abstract:

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3.

Two Stochastic Multidimensional Choice Models for Marketing Research

Decision Sciences 21(1): 337-356, 1990
Number of pages: 20 Posted: 02 Jun 2016
J. Carroll, Geert De Soete and Wayne S. DeSarbo
Rutgers, The State University of New Jersey (Deceased), Ghent University-Universiteit Gent and Pennsylvania State University
Downloads 10 (573,740)

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4.

A Latent Class Probit Model for Analyzing Pick Any/N Data

Journal of Classification, Volume 8, Issue 1, pp 45-63
Number of pages: 19 Posted: 01 Jun 2016
Geert De Soete and Wayne S. DeSarbo
Ghent University-Universiteit Gent and Pennsylvania State University
Downloads 8 (586,115)
Citation 6

Abstract:

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Probit Model, Latent Class Analysis, Finite Mixture Distribution, EM Algorithm, Monte Carlo Significance Test, Market Segmentation

5.

A Probabilistic Multidimensional Scaling Vector Model

Applied Psychological Measurement vol. 10 no. 1, pp. 79-98, 1986
Number of pages: 21 Posted: 25 May 2016
Wayne S. DeSarbo, Richard L. Oliver and Geert De Soete
Pennsylvania State University, Vanderbilt University - Marketing and Ghent University-Universiteit Gent
Downloads 8 (586,115)
Citation 4

Abstract:

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6.

The Wandering Ideal Point Model for Analyzing Paired Comparisons Data

Advances in Psychology, Volume 60 New Developments in Psychological Choice Modeling, Pages 123–137
Number of pages: 15 Posted: 27 May 2016
Geert De Soete, J. Carroll and Wayne S. DeSarbo
Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and Pennsylvania State University
Downloads 7 (592,358)

Abstract:

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7.

Probabilistic Multidimensional Scaling Models for Analyzing Consumer Choice

Communication & Cognition Vol. 20, No. 1, pp. 93-116
Number of pages: 13 Posted: 26 May 2016
Wayne S. DeSarbo, Geert De Soete and Kamel Jedidi
Pennsylvania State University, Ghent University-Universiteit Gent and Columbia Business School - Marketing
Downloads 7 (592,358)

Abstract:

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8.

Probabilistic Multidimensional Scaling Models for Analyzing Consumer Choice Behavior

Advances in Psychology Volume 60 New Developments in Psychological Choice Modeling, Pages 291–315, 1989
Number of pages: 13 Posted: 01 Jun 2016
Wayne S. DeSarbo, Geert De Soete and Kamel Jedidi
Pennsylvania State University, Ghent University-Universiteit Gent and Columbia Business School - Marketing
Downloads 6 (598,786)

Abstract:

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9.

Two Classes of Stochastic Tree Unfolding Models

Advances in Psychology Volume 60, New Developments in Psychological Choice Modeling, Pages 161–176
Number of pages: 9 Posted: 30 May 2016
J. Carroll, Wayne S. DeSarbo and Geert De Soete
Rutgers, The State University of New Jersey (Deceased), Pennsylvania State University and Ghent University-Universiteit Gent
Downloads 5 (605,362)

Abstract:

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10.

Stochastic Tree Unfolding (STUN) Models

Communication & Cognition Vol. 20, No. 1, pp. 63-76
Number of pages: 8 Posted: 26 May 2016
J. Carroll, Wayne S. DeSarbo and Geert De Soete
Rutgers, The State University of New Jersey (Deceased), Pennsylvania State University and Ghent University-Universiteit Gent
Downloads 5 (605,362)

Abstract:

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11.

The Estimation of Ultrametric and Path Length Trees from Rectangular Proximity Data

PSYCHOMETRIKA--VOL. 49, NO. 3, 289-310
Number of pages: 22 Posted: 25 May 2016
Ghent University-Universiteit Gent, Pennsylvania State University, Bell Communications Research and Rutgers, The State University of New Jersey (Deceased)
Downloads 5 (605,362)
Citation 4

Abstract:

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Cluster Analysis, Trees

12.

Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations

CLASSIFICATION AS A TOOL OF RESEARCH, W. Gaul and M. Schader (Eds.), Elsevier Science Publishers B.V. (North-Holland), pp. 97-103
Number of pages: 7 Posted: 28 May 2016
Geert De Soete, J. Carroll and Wayne S. DeSarbo
Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and Pennsylvania State University
Downloads 4 (612,143)
Citation 2

Abstract:

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13.

Least Squares Algorithms for Constructing Constrained Ultrametric and Additive Tree Representations of Symmetric Proximity Data

Journal of Classification, Volume 4, Issue 2, pp 155-173, 1987
Number of pages: 19 Posted: 10 Jul 2017
Geert De Soete, J. Carroll and Wayne S. DeSarbo
Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and Pennsylvania State University
Downloads 1 (642,649)
Citation 3

Abstract:

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Hierarchical clustering, Path length trees, Mathematical programming, Constrained classification methods

14.

A New Stochastic Ultrametric Tree Unfolding Methodology for Assessing Competitive Market Structure and Deriving Market Segments

APPLIED STOCHASTIC MODELS AND DATA ANALYSIS, VOL. 4, 185-204
Posted: 30 May 2016
Pennsylvania State University, Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and University of Michigan, Stephen M. Ross School of Business

Abstract:

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Market structure analysis, Preference trees, Paired comparisons, Ultrametric trees, Maximum likelihood