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1. Introduction
2. Hierarchical Bayes models
3. A hierarchical linear model
4. Specification of covariates Zi
5. The level-effect problem
6. Example of the level effect (1)
7. Motivation of hierarchical modeling
8. Contextual influence: range-frequency theory
9. Contextual influence: distance-density theory
10. Range-frequency theory
11. Range-frequency examples (1)
12. Range-frequency examples (2)
13. Combining with distance-density theory
14. Example of the level effect (2)
15. Model formalization: a hierarchical model
16. Web-based 12-profile credit card survey study
17. Web-based surveys
18. Survey screen shots: screening process (1)
19. Survey screen shots: screening process (2)
20. Survey screen shots: screening process (3)
21. Survey screen shots: screening process (4)
22. Survey screen shots: introduction
23. Survey screen shots: part 3 of the survey (1)
24. Survey screen shots: part 3 of the survey (2)
25. Survey screen shots: part 2 of the survey (1)
26. Survey screen shots: part 2 of the survey (2)
27. The "level effect" on APR is evident
28. No significant change in part-worth of 1% cash
29. No significant change in part-worth of travel
30. Large level-effect estimate on APR
31. In-sample fit model comparison
32. Our proposed model fits the data best
33. Proposed model predicts well to new context
34. Summary and discussion
35. Future research
36. References

Topics Covered

• Hierarchical Bayes models
• The level-effect problem
• Contextual influence
• Range-frequency theory
• Combining with distance-density theory
• Model formalization
• Web-based surveys
• In-sample fit model comparison
• Future research

Links

Series:

• Bayesian Analysis in Marketing

Categories:

• Marketing & Sales

Talk Citation

Publication History

• Published on January 27, 2010