An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs
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- John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters,in: Handbook of Choice Modelling, chapter 7, pages 152-177 Edward Elgar Publishing.
- Palhazi Cuervo, Daniel & Kessels, Roselinde & Goos, Peter & Sörensen, Kenneth, 2016.
"An integrated algorithm for the optimal design of stated choice experiments with partial profiles,"
Transportation Research Part B: Methodological,
Elsevier, vol. 93(PA), pages 648-669.
- CUERVO, Daniel Palhazi & KESSELS, Roselinde & GOOS, Peter & SÖRENSEN, Kenneth, 2015. "An integrated algorithm for the optimal design of stated choice experiments with partial profiles," Working Papers 2015004, University of Antwerp, Faculty of Applied Economics.
- repec:eee:ijrema:v:28:y:2011:i:4:p:378-388 is not listed on IDEAS
- KESSELS, Roselinde & JONES, Bradley & GOOS, Peter, 2013. "An argument for preferring Firth bias-adjusted estimates in aggregate and individual-level discrete choice modeling," Working Papers 2013013, University of Antwerp, Faculty of Applied Economics.
- Jie Yu & Peter Goos & Martina Vandebroek, 2009. "Efficient Conjoint Choice Designs in the Presence of Respondent Heterogeneity," Marketing Science, INFORMS, vol. 28(1), pages 122-135, 01-02.
- Sanko, Nobuhiro & Yamamoto, Toshiyuki, 2013. "Estimation efficiency of RP/SP models considering SP design and error structures," Journal of choice modelling, Elsevier, vol. 6(C), pages 60-73.
- repec:bla:jorssc:v:66:y:2017:i:2:p:363-386 is not listed on IDEAS
- Dellaert, Benedict G.C. & Arentze, Theo & Horeni, Oliver & Timmermans, Harry J.P., 2017. "Deriving attribute utilities from mental representations of complex decisions," Journal of choice modelling, Elsevier, vol. 22(C), pages 24-38.
- Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2010. "Obtaining more information from conjoint experiments by best-worst choices," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1426-1433, June.
- Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
- Richard G. Newell & Juha Siikamäki, 2014.
"Nudging Energy Efficiency Behavior: The Role of Information Labels,"
Journal of the Association of Environmental and Resource Economists,
University of Chicago Press, vol. 1(4), pages 555-598.
- Newell, Richard G. & Siikamäki, Juha, 2013. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Discussion Papers dp-13-17, Resources For the Future.
- Richard G. Newell & Juha V. Siikamäki, 2013. "Nudging Energy Efficiency Behavior: The Role of Information Labels," NBER Working Papers 19224, National Bureau of Economic Research, Inc.
- Sándor Zsolt, 2013. "Monte Carlo Simulation in Random Coefficient Logit Models Involving Large Sums," Acta Universitatis Sapientiae, Economics and Business, De Gruyter Open, vol. 1(1), pages 85-108, July.
- KESSELS, Roselinde & BRADLEY, Jones & GOOS, Peter, 2012. "A comparison of partial profile designs for discrete choice experiments with an application in software development," Working Papers 2012004, University of Antwerp, Faculty of Applied Economics.
- GOOS, Peter & VERMEULEN, Bart & VANDEBROEK, Martina, 2008. "D-optimal conjoint choice designs with no-choice options for a nested logit model," Working Papers 2008020, University of Antwerp, Faculty of Applied Economics.
- J. DeShazo & Trudy Cameron & Manrique Saenz, 2009. "The Effect of Consumers’ Real-World Choice Sets on Inferences from Stated Preference Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 319-343, March.
- Aiste Ruseckaite & Peter Goos & Dennis Fok, 2017. "Bayesian D-optimal choice designs for mixtures," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 363-386, February.
- Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
- Andreas Falke & Harald Hruschka, 2017. "Setting prices in mixed logit model designs," Marketing Letters, Springer, vol. 28(1), pages 139-154, March.
- John Rose & Michiel Bliemer, 2013. "Sample size requirements for stated choice experiments," Transportation, Springer, vol. 40(5), pages 1021-1041, September.
- Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
- Víctor Casero-Alonso & Jesús López-Fidalgo, 2015. "Experimental designs in triangular simultaneous equations models," Statistical Papers, Springer, vol. 56(2), pages 273-290, May.
- repec:eee:ijrema:v:31:y:2014:i:1:p:35-48 is not listed on IDEAS
- Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
- VERHETSEL, Ann & KESSELS, Roselinde & BLOMME, Nele & CANT, Jeroen & GOOS, Peter, 2013. "Location of logistics companies: A stated preference study to disentangle the impact of accessibility," Working Papers 2013024, University of Antwerp, Faculty of Applied Economics.
- repec:spr:orspec:v:39:y:2017:i:4:d:10.1007_s00291-017-0483-1 is not listed on IDEAS
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