Estimation of posterior probabilities of consumer situational choices with neural network classifiers

International Journal of Research in Marketing

Volumn 16, Issue 4, 1999, Pages 307-317

  Hu, Michael Y ^a,b   Shanker, Murali ^a   Hung, Ming S ^c  

^a KENT STATE UNIVERSITY   (United States)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c NONE

Author keywords

Classification; Consumer choices; Neural networks; Posterior probabilities

Indexed keywords

EID: 0012715994     PISSN: 01678116     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8116(99)00018-X     Document Type: Article

References (30)

1. Ahn, B.-H., 1996. Forward additive neural network models. PhD Dissertation, Kent State University, Kent, OH, USA.
2. Bishop, C.M., 1995. Neural Networks for Pattern Recognition. Oxford Univ. Press, Oxford, UK.
3. Cybenko G. Approximation by superpositions of a sigmoidal function. Mathematical Control Signals Systems. 2:1989;303-314.
4. Dasgupta C.G., Dispensa G.S., Ghose S. Comparing the predictive performance of a neural network model with some traditional market response models. International Journal of Forecasting. 10(2):1994;235-244.
5. Duda, R.O., Hart, P.E., 1973. Pattern Classification and Scene Analysis. Wiley, New York.
6. Geman S., Bienenstock E., Doursat R. Neural networks and the bias/variance dilemma. Neural Computation. 4:1992;1-58.
7. Hornik K. Approximation capabilities of multilayer feedforward networks. Neural Networks. 4(2):1991;251-257.
8. Hornik K. Some new results on neural network approximation. Neural Networks. 6(8):1993;1069-1072.
9. Hu M., Hung M.S., Shanker M., Chen H. Using neural networks to predict the performance of Sino-foreign joint ventures. International Journal of Computational Intelligence and Organizations. 1(3):1996;134-143.
10. Hu M., Patuwo E., Hung M.S., Shanker M. Neural network analysis of performance of Sino-Hong Kong joint ventures. Annals of Operations Research. 87:1999;213-232.
11. Hu M., Zhang G., Jiang C., Patuwo E. A cross-validation analysis of neural network out-of-sample performance in exchange rate forecasting. Decision Sciences. 30(1):1999;197-216.
12. Hui M.K., Bateson J.E.G. Perceived control and the effects of crowding and consumer choice on the service experience. Journal of Consumer Research. 18:1991;174-184.
13. Hung M.S., Hu M., Shanker M., Patuwo E. Estimating posterior probabilities in classification problems with neural networks. International Journal of Computational Intelligence and Organizations. 1(1):1996;49-60.
14. Hung, M.S., Shanker, M., Hu, M.Y., 1999. Estimating breast cancer risks using neural networks. Working Paper, College of Business, Kent State University, Kent, OH, USA.
15. Kumar A., Rao V.R., Soni H. An empirical comparison of neural network and logistic regression models. Marketing Letters. 6(4):1995;251-263.
16. Lee, E., Hu, M.Y., Toh, R.S., 2000. Are consumer survey results distorted? Systematic impact of behavioral frequency and duration on survey response errors. Journal of Marketing Research, in press.
17. Lippmann, R.P., 1997. An introduction to computing with neural networks. IEEE ASSP Magazine, April, 4-22.
18. Lo, A., 1996. Recent advances in derivative securities: Neural networks and other nonparametric pricing models. International Workshop on State of the Art in Risk Management and Investments, NUS, Singapore.
19. Refenes, A.P.N., Abu-Mostafa, Y., Moody, J., Weigend, A., 1996. Neural Networks in Financial Engineering. World Scientific, Singapore.
20. Rumelhart, D.E., Hinton, G.E., Williams, R.J., 1986. Learning internal representation by error propagation. In: Rumelhart, D.E., Williams, J.L. (Eds.), Parallel Distributed Explorations in the Microstructure of Cognition. MIT Press, Cambridge, MA.
21. SAS User's Guide: Statistics, 1998. SAS Institute, NC.
22. Shanker M., Hu M., Hung M.S. Effect of data standardization on neural network training. Omega. 24(4):1996;385-397.
23. Shanker M.S. Using neural networks to predict the onset of diabetes mellitus. Journal of Chemical Information and Computer Sciences. 36(1):1996;35-41.
24. Simonson, I., Winer, R.S., 1992. The influence of purchase quantity and display format on consumer preference for variety. Journal of Consumer Research 19 (June), 133-138.
25. Tam K.Y., Kiang M.Y. Managerial applications of neural networks: the case of bank failure predictions. Management Science. 38(7):1992;926-947.
26. Tang Z., Fishwick P.A. Feedforward neural nets as models for time series forecasting. INFORMS Journal on Computing. 5(4):1993;374-385.
27. West P.M., Brockett P.L., Golden L.L. A comparative analysis of neural networks and statistical methods for predicting consumer choice. Marketing Science. 16(4):1997;370-391.
28. Wong F.S. Time series forecasting using backpropagation neural networks. Neurocomputing. 2:1991;147-159.
29. Zhang G., Hu M., Patuwo E., Indro D. Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. European Journal of Operational Research. 116(1):1999;16-32.
30. Zhang G., Patuwo E., Hu M. Forecasting with artificial neural networks: The state of art. International Journal of Forecasting. 14(1):1998;35-62.