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Bayesian Statistics and Marketing

Rossi, Peter E., Allenby, Greg M., McCulloch, Robert·2005·Wiley Series in Probability and Statistics

Abstract

Bayesian methods have become widespread in marketing literature. We review the essence of the Bayesian approach and explain why it is particularly useful for marketing problems. While the appeal of the Bayesian approach has long been noted by researchers, recent developments in computational methods and expanded availability of detailed marketplace data has fueled the growth in application of Bayesian methods in marketing. We emphasize the modularity and flexibility of modern Bayesian approaches. The usefulness of Bayesian methods in situations in which there is limited information about a large number of units or where the information comes from different sources is noted. We include an extensive discussion of open issues and directions for future research.

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Metadata

Authors
Rossi, P. E., Allenby, G. M., & McCulloch, R.
Venue
Wiley Series in Probability and Statistics
Publisher
Wiley
Published
2005-10-28
ISSN
1940-6347 (ISSN-L)
OpenAlex
W2491861244
Cited by
643
References
0
FWCI
5.08
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bayesian Statistics and Marketing. https://app.cochat.ai/papers/10.1002/0470863692
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Rossi, P. E., Allenby, G. M., & McCulloch, R. (2005). Bayesian Statistics and Marketing. Wiley Series in Probability and Statistics. https://doi.org/10.1002/0470863692

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.