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Journal of Business & Economic Statistics Volume 27, 2009 - Issue 2
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Research Article

An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs

Roselinde Kessels Procter & Gamble, Brussels Innovation Center, Strombeek-Bever, Belgium
,
Bradley Jones SAS Institute Inc., Cary, NC 27513
,
Peter Goos Universiteit Antwerpen, Faculty of Applied Economics, Department of Mathematics, Statistics and Actuarial Sciences, Antwerpen, Belgium
&
Martina Vandebroek Katholieke Universiteit Leuven, Faculty of Business and Economics, Leuven, Belgium and Leuven Statistics Research Center, Leuven-Heverlee, Belgium
Pages 279-291 | Received 01 Oct 2006, Published online: 01 Jan 2012

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Peter Goos & Kalliopi Mylona. (2018) Quadrature Methods for Bayesian Optimal Design of Experiments With Nonnormal Prior Distributions. Journal of Computational and Graphical Statistics 27:1, pages 179-194.
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Tiago Ribeiro, Richard Carson, Jordan J. Louviere & John M. Rose. (2017) Possible design-induced artifacts associated with designs for discrete choice experiments. Journal of Statistical Theory and Practice 11:2, pages 296-321.
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T. Tian & M. Yang. (2017) Efficiency of the coordinate-exchange algorithm in constructing exact optimal discrete choice experiments. Journal of Statistical Theory and Practice 11:2, pages 254-268.
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V. Roshan Joseph, Tirthankar Dasgupta, Rui Tuo & C. F. Jeff Wu. (2015) Sequential Exploration of Complex Surfaces Using Minimum Energy Designs. Technometrics 57:1, pages 64-74.
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Stephen Bush. (2014) Optimal Designs for Stated Choice Experiments Generated From Fractional Factorial Designs. Journal of Statistical Theory and Practice 8:2, pages 367-381.
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Kalliopi Mylona, Peter Goos & Bradley Jones. (2014) Optimal Design of Blocked and Split-Plot Experiments for Fixed Effects and Variance Component Estimation. Technometrics 56:2, pages 132-144.
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Lina Lourenço-Gomes, Lígia M. Costa Pinto & João Rebelo. (2013) Using Choice Experiments to Value a World Cultural Heritage Site: Reflections on the Experimental Design. Journal of Applied Economics 16:2, pages 303-331.
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DavidJ. Curry, JamesJ. Cochran, Rajesh Radhakrishnan & Jon Pinnell. (2013) Hierarchical Bayesian Prediction Methods in Election Politics: Introduction and Major Test. Journal of Political Marketing 12:4, pages 275-305.
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Justin T. Vastola, Jye-Chyi Lu, Michael J. Casciato, Dennis W. Hess & Martha A. Grover. (2013) A Framework for Initial Experimental Design in the Presence of Competing Prior Knowledge. Journal of Quality Technology 45:4, pages 301-329.
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William Li, Christopher J. Nachtsheim, Ke Wang, Robert Reul & Mark Albrecht. (2013) Conjoint Analysis and Discrete Choice Experiments for Quality Improvement. Journal of Quality Technology 45:1, pages 74-99.
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Peter Goos & StevenG. Gilmour. (2012) A General Strategy for Analyzing Data From Split-Plot and Multistratum Experimental Designs. Technometrics 54:4, pages 340-354.
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Articles from other publishers (54)

Mario Becerra & Peter Goos. (2023) Bayesian D- and I-optimal designs for choice experiments involving mixtures and process variables. Food Quality and Preference 110, pages 104928.
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Rossella Berni, Nedka D. Nikiforova & Patrizia Pinelli. 2023. Models for Data Analysis. Models for Data Analysis 41 52 .
Nedka Dechkova Nikiforova, Rossella Berni & Jesús Fernando López-Fidalgo. (2022) Optimal Approximate Choice Designs for a Two-step Coffee Choice, Taste and Choice Again Experiment. Journal of the Royal Statistical Society Series C: Applied Statistics 71:5, pages 1895-1917.
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Vincenzina CaputoRiccardo Scarpa. (2022) Methodological Advances in Food Choice Experiments and Modeling: Current Practices, Challenges, and Future Research Directions. Annual Review of Resource Economics 14:1, pages 63-90.
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Matteo Balliauw, Evy Onghena & Simon Mulkens. (2020) Identifying factors affecting the value of advertisements on football clubs' and players' social media: a discrete choice analysis. International Journal of Sports Marketing and Sponsorship 22:4, pages 652-676.
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Mario Becerra & Peter Goos. (2021) Bayesian I-optimal designs for choice experiments with mixtures. Chemometrics and Intelligent Laboratory Systems 217, pages 104395.
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Rakhi Singh, Angela Dean, Ashish Das & Fangfang Sun. (2020) A-optimal designs under a linearized model for discrete choice experiments. Metrika 84:4, pages 445-465.
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Amalie Bjørnåvold, Sebastien Lizin, Miet Van Dael, Florian Arnold & Steven Van Passel. (2020) Eliciting policymakers’ preferences for technologies to decarbonise transport: A discrete choice experiment. Environmental Innovation and Societal Transitions 35, pages 21-34.
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Marcel F. Jonker & Michiel C.J. Bliemer. (2019) On the Optimization of Bayesian D-Efficient Discrete Choice Experiment Designs for the Estimation of QALY Tariffs That Are Corrected for Nonlinear Time Preferences. Value in Health 22:10, pages 1162-1169.
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Arno Strouwen & Peter Goos. (2019) A note on the output of a coordinate-exchange algorithm for optimal experimental design. Chemometrics and Intelligent Laboratory Systems 192, pages 103819.
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Roselinde Kessels, Bradley Jones & Peter Goos. (2019) Using Firth's method for model estimation and market segmentation based on choice data. Journal of Choice Modelling 31, pages 1-21.
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Denis Sauré & Juan Pablo Vielma. (2019) Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis. Operations Research.
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Denis Sauré & Juan Pablo Vielma. (2019) Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis. Operations Research.
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Chang Wang, Dries Goossens & Martina Vandebroek. (2016) The Impact of the Soccer Schedule on TV Viewership and Stadium Attendance. Journal of Sports Economics 19:1, pages 82-112.
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Andreas Falke & Harald Hruschka. (2017) A Monte Carlo study of design-generating algorithms for the latent class mixed logit model. OR Spectrum 39:4, pages 1035-1053.
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Robert J. Johnston, Kevin J. Boyle, Wiktor (Vic) Adamowicz, Jeff Bennett, Roy Brouwer, Trudy Ann Cameron, W. Michael Hanemann, Nick Hanley, Mandy Ryan, Riccardo Scarpa, Roger Tourangeau & Christian A. Vossler. (2017) Contemporary Guidance for Stated Preference Studies. Journal of the Association of Environmental and Resource Economists 4:2, pages 319-405.
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Benedict G.C. Dellaert, Theo Arentze, Oliver Horeni & Harry J.P. Timmermans. (2017) Deriving attribute utilities from mental representations of complex decisions. Journal of Choice Modelling 22, pages 24-38.
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Andreas Falke & Harald Hruschka. (2015) Setting prices in mixed logit model designs. Marketing Letters 28:1, pages 139-154.
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Aiste Ruseckaite, Peter Goos & Dennis Fok. (2017) Bayesian D-Optimal Choice Designs for Mixtures. Journal of the Royal Statistical Society Series C: Applied Statistics 66:2, pages 363-386.
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Daniel Palhazi Cuervo, Roselinde Kessels, Peter Goos & Kenneth Sörensen. (2016) An integrated algorithm for the optimal design of stated choice experiments with partial profiles. Transportation Research Part B: Methodological 93, pages 648-669.
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Fangfang Sun & Angela Dean. (2016) A-optimal and A-efficient designs for discrete choice experiments. Journal of Statistical Planning and Inference 170, pages 144-157.
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Andreas Falke & Harald Hruschka. (2016) A Monte Carlo Study of Design Procedures for the Semi-parametric Mixed Logit Model. Review of Marketing Science 14:1.
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Qing Liu & Yihui (Elina) Tang. (2015) Construction of Heterogeneous Conjoint Choice Designs: A New Approach. Marketing Science 34:3, pages 346-366.
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Víctor Casero-Alonso & Jesús López-Fidalgo. (2014) Experimental designs in triangular simultaneous equations models. Statistical Papers 56:2, pages 273-290.
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Ann Verhetsel, Roselinde Kessels, Peter Goos, Toon Zijlstra, Nele Blomme & Jeroen Cant. (2015) Location of logistics companies: a stated preference study to disentangle the impact of accessibility. Journal of Transport Geography 42, pages 110-121.
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Richard G. Newell & Juha Siikamäki. (2014) Nudging Energy Efficiency Behavior: The Role of Information Labels. Journal of the Association of Environmental and Resource Economists 1:4, pages 555-598.
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Bart D. Frischknecht, Christine Eckert, John Geweke & Jordan J. Louviere. (2014) A simple method for estimating preference parameters for individuals. International Journal of Research in Marketing 31:1, pages 35-48.
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John M. Rose & Michiel C. J. Bliemer. (2013) Sample size requirements for stated choice experiments. Transportation 40:5, pages 1021-1041.
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Nobuhiro Sanko & Toshiyuki Yamamoto. (2013) Estimation efficiency of RP/SP models considering SP design and error structures. Journal of Choice Modelling 6, pages 60-73.
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F. Reed Johnson, Emily Lancsar, Deborah Marshall, Vikram Kilambi, Axel Mühlbacher, Dean A. Regier, Brian W. Bresnahan, Barbara Kanninen & John F.P. Bridges. (2013) Constructing Experimental Designs for Discrete-Choice Experiments: Report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. Value in Health 16:1, pages 3-13.
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Wei Chen, Christopher Hoyle & Henk Jan WassenaarWei Chen, Christopher Hoyle & Henk Jan Wassenaar. 2013. Decision-Based Design. Decision-Based Design 131 162 .
Jie Yu, Peter Goos & Martina Vandebroek. (2012) A comparison of different Bayesian design criteria for setting up stated preference studies. Transportation Research Part B: Methodological 46:7, pages 789-807.
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Deborah J. Street & Leonie Burgess. 2012. Design and Analysis of Experiments. Design and Analysis of Experiments 331 378 .
Jie Yu, Peter Goos & Martina Vandebroek. (2011) Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity. International Journal of Research in Marketing 28:4, pages 378-388.
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Bart Vermeulen, Peter Goos & Martina Vandebroek. (2011) Rank-order choice-based conjoint experiments: Efficiency and design. Journal of Statistical Planning and Inference 141:8, pages 2519-2531.
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Xin Wang. (2011) Book Review. Journal of Mathematical Psychology 55:4, pages 328-329.
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Roselinde Kessels, Bradley Jones, Peter Goos & Martina Vandebroek. (2011) The usefulness of Bayesian optimal designs for discrete choice experiments. Applied Stochastic Models in Business and Industry 27:3, pages 173-188.
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Roselinde Kessels, Peter Goos, Bradley Jones & Martina Vandebroek. (2011) Rejoinder: the usefulness of Bayesian optimal designs for discrete choice experiments. Applied Stochastic Models in Business and Industry 27:3, pages 197-203.
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Qing Liu & Neeraj Arora. (2011) Efficient Choice Designs for a Consider-Then-Choose Model. Marketing Science 30:2, pages 321-338.
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Peter Goos & Heiko Großmann. (2011) Optimal design of factorial paired comparison experiments in the presence of within-pair order effects. Food Quality and Preference 22:2, pages 198-204.
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Roselinde Kessels, Bradley Jones & Peter Goos. (2011) Bayesian optimal designs for discrete choice experiments with partial profiles. Journal of Choice Modelling 4:3, pages 52-74.
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Bart Vermeulen, Peter Goos, Riccardo Scarpa & Martina Vandebroek. (2010) Bayesian Conjoint Choice Designs for Measuring Willingness to Pay. Environmental and Resource Economics 48:1, pages 129-149.
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Jie Yu, Peter Goos & Martina Vandebroek. (2010) Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments. Transportation Research Part B: Methodological 44:10, pages 1268-1289.
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Michiel C.J. Bliemer & John M. Rose. (2010) Construction of experimental designs for mixed logit models allowing for correlation across choice observations. Transportation Research Part B: Methodological 44:6, pages 720-734.
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Bart Vermeulen, Peter Goos & Martina Vandebroek. (2010) Obtaining more information from conjoint experiments by best–worst choices. Computational Statistics & Data Analysis 54:6, pages 1426-1433.
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Peter Goos, Bart Vermeulen & Martina Vandebroek. (2010) -optimal conjoint choice designs with no-choice options for a nested logit model. Journal of Statistical Planning and Inference 140:4, pages 851-861.
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Michiel C.J. Bliemer & John M. Rose. 2010. Choice Modelling: The State-of-the-art and The State-of-practice. Choice Modelling: The State-of-the-art and The State-of-practice 137 161 .
Chang Wang, Dries Goossens & Martina L. Vandebroek. (2015) The Impact of the Soccer Schedule on TV Viewership and Stadium Attendance: Evidence from the Belgian Pro League. SSRN Electronic Journal.
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Denis Saure & Juan Pablo Vielma. (2017) Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis. SSRN Electronic Journal.
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Richard G. Newell & Juha Siikammki. (2013) Nudging Energy Efficiency Behavior: Role of Information Labels. SSRN Electronic Journal.
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Aiste Ruseckaite, Peter Goos & D. Fok. (2014) Bayesian D-Optimal Choice Designs for Mixtures. SSRN Electronic Journal.
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Richard G. Newell & Juha Siikamäki. (2013) Nudging Energy Efficiency Behavior: The Role of Information Labels. SSRN Electronic Journal.
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Vishva Manohara Danthurebandara, Martina L. Vandebroek & Jie Yu. (2010) Sequential Choice Designs to Estimate the Distribution of Willingness-to-Pay. SSRN Electronic Journal.
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Jie Yu, Peter Goos & Martina L. Vandebroek. (2008) Comparing Different Sampling Schemes for Approximating the Integrals Involved in the Semi-Bayesian Optimal Design of Choice Experiments. SSRN Electronic Journal.
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