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Navigable Slide Index

1. Introduction
2. Decision Theory
3. Model Selection
4. Model Probabilities (1)
5. Bayes Factors
6. Model Probabilities (2)
7. Asymptotic Methods (BIC)
8. Computing Model Probs
9. Model Probs Using MCMC Draws
10. Marketing Decisions and BDT
11. Loss/Profit Function
12. Full Bayes
13. Why Full Bayes?
14. Disaggregate Decisions
15. Information/Customization
16. Value of Disaggregate Information (1)
17. Value of Disaggregate Information (2)
18. Example: Value of Household Purchase Info
19. Unit-Level Model and Heterogeneity
20. Information Sets and Decisions
21. Predictive Distributions
22. Couponing Problem
23. Profit Results
24. Summary

Topics Covered

• Model selection
• Bayes factors
• Asymptotic methods
• Newton raftery
• Marketing decisions and BDT
• Lost and profit functions
• Why full Bayes?
• Value of disaggregate information
• Value of household purchase information
• Couponing example

Links

Series:

• Bayesian Analysis in Marketing

Categories:

• Marketing & Sales

Talk Citation

Publication History

• Published on January 27, 2010