Peter Goos

University of Antwerp

Prinsstraat 13

Antwerp, Antwerp 2000

Belgium

KU Leuven

Oude Markt 13

Leuven, Vlaams-Brabant 3000

Belgium

SCHOLARLY PAPERS

14

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7

CROSSREF CITATIONS

14

Scholarly Papers (14)

1.

Models and Optimal Designs for Conjoint Choice Experiments Including a No-Choice Option

Number of pages: 26 Posted: 19 Feb 2008
KU Leuven - Faculty of Business and Economics (FEB), University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 154 (192,664)
Citation 1

Abstract:

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Choice, Choice experiments, Conjoint choice experiments, D-Optimality, Design, Impact, Logit, Model, Models, Multinomial logit, Optimal, Optimal design, Precision, Real life, Simulation, Studies

2.

The Importance of Attribute Interactions in Conjoint Choice Design and Modeling

K.U. Leuven KBI Working Paper No. 0601
Number of pages: 24 Posted: 01 Jun 2006
Jie Yu, Peter Goos and Martina L. Vandebroek
Katholieke Universiteit Leuven - Faculty of Business and Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 136 (213,281)
Citation 1

Abstract:

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Bayesian, Choice, Design, Effects, Experimental design, Interaction effects, Logit, Main effects, Misspecification, Model, Models, Multinomial logit, Performance, Prediction, Predictions, Research

3.

An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs

KBI Working Paper No. 0616
Number of pages: 29 Posted: 10 Mar 2007
University of Antwerp - Faculty of Applied Economics, SAS Institute Inc., University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 123 (230,513)
Citation 5

Abstract:

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Adaptive algorithm, Bayesian D-, A-, G- and V-optimality, Cholesky decomposition, Conjoint choice design, Coordinate-exchange, Multinominal logit, Bayesian, Design, Predictions, Prediction, Conjoint choice experiments, Choice, Criteria, A-Optimality, Optimal, Optimal design, V-optimality, Studies

4.

Recommendations on the use of Bayesian Optimal Designs for Choice Experiments

KBI Working Paper No. 0617
Number of pages: 19 Posted: 07 Mar 2007
University of Antwerp - Faculty of Applied Economics, SAS Institute Inc., University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 103 (261,688)
Citation 6

Abstract:

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Bayesian optimal designs, Choice experiments, Prior parameter distribution, Utility-neutral optimal designs

5.

A Hierarchical Bayesian Approach to Robust Parameter Design

Number of pages: 23 Posted: 01 Feb 2008
University of Southern Denmark - Department of Statistics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 93 (279,922)
Citation 1

Abstract:

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Bayesian, Credibility or posterior probability intervals, Design, Empirical Bayes priors, Factors, Gibbs sampling, Hierarchical Bayesian model, Location and dispersion factors, Model, Noise, Parameters, Sensitivity, Taguchi experiments, WinBUGS

6.

Design Criteria to Develop Choice Experiments to Measure the WTP Accurately

Number of pages: 29 Posted: 24 Oct 2008
KU Leuven - Faculty of Business and Economics (FEB), University of Antwerp, University of Waikato - Management School and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 81 (305,085)
Citation 3

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7.

Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity

Number of pages: 26 Posted: 21 Jan 2008
Jie Yu, Peter Goos and Martina L. Vandebroek
Katholieke Universiteit Leuven - Faculty of Business and Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 71 (329,148)
Citation 3

Abstract:

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Algorithm, D-Optimality, Heterogeneity, Model-robust design, Multinomial logit design, Prediction accuracy, Semi-Bayesian mixed logit design

8.

Optimal Two-Level Conjoint Designs for Large Numbers of Attributes

K.U. Leuven KBI Working Paper No. 0615
Number of pages: 42 Posted: 08 Mar 2007
University of Antwerp - Faculty of Applied Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 65 (344,954)
Citation 1

Abstract:

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Balanced and partially balanced incomplete block designs, D-,A-,G- and V-optimality, Orthogonal designs, Two-level conjoint designs, Strategy, Design, Studies, Order, Yield, Information

9.

Rank-Order Conjoint Experiments: Efficiency and Design

Number of pages: 30 Posted: 21 Jan 2008
KU Leuven - Faculty of Business and Economics (FEB), University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 63 (350,599)
Citation 2

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10.

Bayesian D-Optimal Choice Designs for Mixtures

Tinbergen Institute Discussion paper 14-057/III
Number of pages: 43 Posted: 10 May 2014
Aiste Ruseckaite, Peter Goos and D. Fok
Erasmus University Rotterdam (EUR) - Department of Econometrics, University of Antwerp and Econometric Institute - Erasmus University Rotterdam
Downloads 61 (356,322)

Abstract:

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Bayesian design, Choice experiments, D-optimality, Experimental design, Mixture coordinate-exchange algorithm, Mixture experiment, Multinomial logit model, Optimal design

11.

Individually Adapted Sequential Bayesian Designs for Conjoint Choice Experiments

Number of pages: 16 Posted: 27 Apr 2009
Jie Yu, Peter Goos and Martina L. Vandebroek
Katholieke Universiteit Leuven - Faculty of Business and Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 49 (394,657)
Citation 3

Abstract:

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adaptive Bayesian design, conjoint choice experiments, respondent heterogeneity, response error

12.

Comparing Different Sampling Schemes for Approximating the Integrals Involved in the Semi-Bayesian Optimal Design of Choice Experiments

Number of pages: 27 Posted: 30 Mar 2009
Jie Yu, Peter Goos and Martina L. Vandebroek
Katholieke Universiteit Leuven - Faculty of Business and Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 45 (408,599)
Citation 3

Abstract:

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conjoint choice design, Pseudo-Monte Carlo, Quasi-Monte Carlo, Gaussian-Hermite quadrature, spherical-radial transformation

13.

A Comparison of Different Bayesian Design Criteria to Compute Efficient Conjoint Choice Experiments

Number of pages: 45 Posted: 24 Oct 2008
Jie Yu, Peter Goos and Martina L. Vandebroek
Katholieke Universiteit Leuven - Faculty of Business and Economics, University of Antwerp and Katholieke Universiteit Leuven - Faculty of Business and Economics
Downloads 41 (423,530)
Citation 3

Abstract:

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Bayesian design criterion, posterior density, expected posterior covariance

14.

Flexible Mixture-Amount Models for Business and Industry Using Gaussian Processes

Tinbergen Institute Discussion Paper 16-075/III
Number of pages: 38 Posted: 13 Sep 2016
Aiste Ruseckaite, D. Fok and Peter Goos
Erasmus University Rotterdam (EUR) - Department of Econometrics, Econometric Institute - Erasmus University Rotterdam and University of Antwerp
Downloads 26 (491,408)

Abstract:

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Gaussian process prior, Nonparametric Bayes, Advertising mix, In- gredient proportions, Mixtures of ingredients