Optimization-based and machine-learning methods for conjoint analysis: Estimation and question design

Conjoint Measurement: Methods and Applications

Volumn , Issue , 2007, Pages 231-258

  Toubia, Olivier ^a   Evgeniou, Theodoros ^b   Hauser, John ^c  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b INSEAD   (France)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 54149110781     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-71404-0_12     Document Type: Chapter

References (43)

1. Abernethy, Jacob, Theodoros Evgeniou, Olivier Toubia, and Jean-Philippe Vert (AETV, 2006), "Eliciting Consumer Preferences using Robust Adaptive Choice festionnaires, " Working Paper, TNSEAD, Fontainebleau, France.
2. Addelman, Sidney (1962), "Symmetrical and Asymmetrical Fractional Factorial Plans", Technometrics, 4 (February) 47-58.
3. Allenby, Greg M., Peter E. Rossi (1999), "Marketing Models of Consumer Heterogeneity, " Journal of Econometrics, 89, March/April, p. 57 - 78.
4. Arora, Neeraj and Joel Huber (2001). "Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments, " Journal of Consumer Research, 28, (September), 273-283.
5. Chaloner, Kathryn, and Isabella Verdinelli (1995). Bayesian Expe rimental Design: A Review", Statistical Science, 10(3), 273-304.
6. Dawes, R. M and B. Corrigan (1974), "Linear Models in Decision Making, " Psychological Bulletin, 81, 95-106.
7. Efron, Bradley, and Robert Tibshirani (1993), An Introduction to the Bootstrap, (New York, NY: Chapman and Hall).
8. Einhorn, Hillel J. (1970), "The Use of Nonlinear, Noncompensatory Models in Decision Making." Psychological Bulletin, 73, 3, 221-230.
9. Evgeniou, Theodoros, Constantinos Boussios, and Giorgos Zacharia (EBZ, 2005), "Generalized Robust Conjoint Estimation, " Marketing Science, 24(3), 415-429.
10. Evgeniou, Theodoros, Massimiliano Pontil, and Tomaso Poggio (2000), "Regularization Networks and Support Vector Machines, " Advances in Computational Mathematics. 13, 1-50.
11. Evgeniou, Theodoros, Massimiliano Pontil. and Olivier Toubia (EPT, 2006), "A Convex Optimization Approach to Modeling Heterogeneity in Conjoint Estimation, " Working Paper, INSEAD, Fontainebleau, France.
12. Ford, I., Kitsos, C.P. and Titterington, D.M. (1989) "Recent Advances in Nonlinear Experimental Designs, Technometrics, 31, 49-60.
13. Green, Paul E. (2004), "Thirty Years of Conjoint Analysis: Reflections and Prospects, " Conjoint Analysis, Related Modeling, and Applications: Market Research and Modeling: Progress and Prospects. Jerry Wind and Paul Green. Eds., (Boston. MA: Kluwer Academic Publishers), 141-168.
14. Green, Paul E. and Vithala R. Rao (1971), "Conjoint Measurement for Quantifying Judgmental Data, " Journal of Marketing Research, 8, (August), 355-63.
15. Greene, William (2003), Econometric Analysis, (Englewood Cliffs, NJ: Prentice Hall).
16. Hastie, Trevor, Robert Tibshirani, and Jerome H. Friedman (2003), The Elements of Statistical Learning. (New York, NY: Springer Series in Statistics).
17. llauser, John R., Ely Dahan, Michael Yee, and James Orlin (2006), ""Must Have" Aspects vs. Tradeoff Aspects in Models of Customer Decisions, " Proceedings of the Sawtooth Software Conference in Del Ray Beach FL, March 29-31. 2006.
18. Hauser, John R., and Olivier Toubia (2005), "The Impact of Endogeneity and Utility Balance in Conjoint Analysis, " Marketing Science, Vol. 24, No. 3.
19. Huber, Joel and Klaus Zwerina (1996), 'The Importance of Utility Balance in Efficient Choice Designs, " Journal of Marketing Research. 33, (August), 307-317.
20. Jain, Arun K., Franklin Acito, Naresh Malhotra, and Vijay Mahajan (1979). "A Comparison of the Internal Validity of Alternative Parameter Estimation Methods in Decompositional Multiattribute Preference Models, " Journal of Marketing Research. 16, (August), 313-322.
21. Johnson, Richard (1987), "Accuracy of Utility Estimation in ACA, " Working Paper, Sawtooth Software, Sequim, WA, (April).
22. Johnson, Richard (1991), "Comment on Adaptiv e Conjoint Analysis: Some Caveats and Suggestions, " Journal of Marketing Research. 28. (May). 223-225.
23. Kannincn, Barbara (2002), "Optimal Design for Multinomial Choice Experiments, " Journal of Marketing Research, 36 (May), 214-227.
24. Kuhfeld, Warren F. (2005), Marketing Research Methods in SAS, SAS Institute Inc., Gary, NC (USA). Available at http://suppoi1.sas.com/techsup/ teclinote/ts722.pdf.
25. Kuhfeld, Warren F., Randall D. Tobias, and Mark Garratt (1994), "Efficient Experimental Design with Marketing Applications, " Journal of Marketing Research; 31, 4(November), 545-557.
26. Lenk, Peter J., Wayne S. DeSarbo, Paul E. Green, Martin R. Young (1996), "Hierarchical Bayes Conjoint Analysis: Recovery of Part worth Heterogeneity from Reduced Experimental Designs, " Marketing Science, 15(2), p. 173-91.
27. Liu, Jig, Thomas Otto, and Greg M. Allenby (2006), "Investigating Conjoint Analysis Bias in Conjoint Analysis." Working Paper Ohio State University, Columbus, OH.
28. Newey, Whitney K., and Daniel McFadden (1994), "Large Sample Estimation and Hypothesis Testing, " in Handbook, of Econometrics, edited by R.F. Engle and D.L. McFadden, Elsevier Science.
29. Rossi, Peter E., Greg M. Allenby (2003), "Bavesian Statistics and Marketing, " Marketing Science, 22(3). p. 304-328.
30. Rossi, Peter E., Greg M. Allenby, Robert McCulloch (2005), Bayesian Statistics and Marketing. (New York. NY: John Wiley and Sons).
31. Sandor, Zsolt, and Michel Wedel (2001), "Designing Conjoint Choice Experiments Using Managers' Prior Beliefs Journal of Marketing Research, 38, 4, 430-444.
32. Shao, Jun (1993), "Linear model selection via cross-validation, Journal of the American Statistical Association, 88(422), p. 486-494.
33. Srinivasan, V., and Allan D. Shocker (1973a), "Linear Programming Techniques for Multidimensional Analysis of Preferences, " Psychometrika, 38 (3), 337-369.
34. Srinivasan, V. and Allen D. Shocker (1973b), "Estimating the Weights for Multiple Attributes in a Composite Criterion Using Pairvvise Judgments, " Psychometrika, 38. 4, (December), 473-493.
35. Steinberg, D.M., and Hunter, W.G. (1984), "Experimental Design: Review and Comment "Technometrics, 26. 71-97.
36. Tikhonov, A., and V. Arsenin (1977), Solutions of Ill-posed Problems, W. H. Winston, Washington, D.C. (OLIVIER: Add full first names).
37. Tong, S., and D. Koller (2000), "Support vector machine active learning with applications to text classification, " Proceedings of the Seventeenth International Conference on Machine Learning, Stanford University, CA, USA.
38. Toubia, Olivier, John R. Mauser, and Rosanna Garcia (TUG, 2006), "Probabilistic Polyhedral Methods for Adaptive Conjoint Analysis: Theory and Application, " forthcoming. Marketing Science.
39. Toubia, Olivier, John R. Mauser, and Duncan I. Simester (2004), "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis' Journal of Marketing Research, 41, 116-131.
40. Toubia, Olivier, Duncan I. Simester, John R. Mauser, and Ely Dahan (2003), "Fast Polyhedral Adaptive Conjoint Estimation, " Marketing Science, 22(3), 273-303.
41. Vapnik, Vladimir (1998), Statistical Learning Theory, (New York, NY: John Wiley and Sons).
42. Wahba, Grace (1990), "Splines Models for Observational Data." Series in Applied Mathematics, Vol. 59, S1AM, Philadelphia.
43. Wittink, Dick R. and Philippe Cattin (1981). "Alternative Estimation Methods for Conjoint Analysis: A Monte Carlo Study' Journal of Marketing Research, 18, (February), 101- 106.