Bayesian Statistics and Marketing
$172.00
- Hardcover
400 pages
- Release Date
29 October 2024
Summary
Unlock Marketing Insights: A Bayesian Approach
Fine-tune your marketing research with this cutting-edge statistical toolkit
Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise …
Book Details
| ISBN-13: | 9781394219117 |
|---|---|
| ISBN-10: | 1394219113 |
| Series: | Wiley Series in Probability and Statistics |
| Author: | Greg M. Allenby, Sanjog Misra, Peter E. Rossi |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 400 |
| Edition: | 2nd |
| Release Date: | 29 October 2024 |
| Weight: | 907g |
| Dimensions: | 251mm x 176mm x 28mm |
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About The Author
Greg M. Allenby
Peter Rossi is James Collins Distinguished University Professor of Marketing, Economics, and Statistics at the Anderson School of Management, UCLA, USA. He is the author of the popular R package, bayesm, and he has researched and published extensively on pricing and promotion, target marketing, and other related subjects.
Greg Allenby is Helen C. Kurtz Professor of Marketing as well as Professor of Statistics at the Fisher College of Business, Ohio State University, USA. He is a Fellow of the Informs Society for Marketing Science and the American Statistical Association, and he has published widely on the development and application of quantitative methods in marketing.
Sanjog Misra is Charles H. Kellstadt Professor of Marketing in the Booth School of Business, University of Chicago, USA. He has served as the co-editor of numerous high-impact journals, including Quantiative Marketing and Economics, and his research focuses on the use of machine learning and deep learning to study consumer and firm decisions.
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