Marketing Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


MARKETING SCIENCE
Vol. 22, No. 3, Summer 2003, pp. 304-328
DOI: 10.1287/mksc.22.3.304.17739
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rossi, P. E.
Right arrow Articles by Allenby, G. M.
Right arrow Search for Related Content

Bayesian Statistics and Marketing

Peter E. Rossi, Greg M. Allenby

Graduate School of Business, University of Chicago, 1101 E. 58th Street, Chicago, Illinois 60637
Fisher College of Business, Ohio State University, 2100 Neil Avenue, Columbus, Ohio 43210

peter.rossi{at}gsb.uchicago.edu
allenby.1{at}osu.edu

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.

Key Words: Bayesian Statistics; Decision Theory; Marketing Models; Critical Review
History: Received: July 28, 2002;


This article has been cited by other articles:


Home page
Journal of Service ResearchHome page
Y. Polo and F. J. Sese
How to Make Switching Costly: The Role of Marketing and Relationship Characteristics
Journal of Service Research, November 1, 2009; 12(2): 119 - 137.
[Abstract] [PDF]


Home page
Management ScienceHome page
P. Jarnebrant, O. Toubia, and E. Johnson
The Silver Lining Effect: Formal Analysis and Experiments
Management Science, November 1, 2009; 55(11): 1832 - 1841.
[Abstract] [PDF]


Home page
Management ScienceHome page
X. Wang, J. D. Camm, and D. J. Curry
A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem
Management Science, October 1, 2009; 55(10): 1718 - 1728.
[Abstract] [PDF]


Home page
Management ScienceHome page
A. Ghose and S. Yang
An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets
Management Science, October 1, 2009; 55(10): 1605 - 1622.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
R. van der Lans, J. A. Cote, C. A. Cole, S. M. Leong, A. Smidts, P. W. Henderson, C. Bluemelhuber, P. A. Bottomley, J. R. Doyle, A. Fedorikhin, et al.
Cross-National Logo Evaluation Analysis: An Individual-Level Approach
Marketing Science, September 1, 2009; 28(5): 968 - 985.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
T. S. Chung, R. T. Rust, and M. Wedel
My Mobile Music: An Adaptive Personalization System for Digital Audio Players
Marketing Science, January 1, 2009; 28(1): 52 - 68.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
N. I. Bruce
Pooling and Dynamic Forgetting Effects in Multitheme Advertising: Tracking the Advertising Sales Relationship with Particle Filters
Marketing Science, July 1, 2008; 27(4): 659 - 673.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
E. T. Bradlow
Editorial--The Scientific Process at Its Best
Marketing Science, May 1, 2008; 27(3): 323 - 323.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
O. Netzer, J. M. Lattin, and V. Srinivasan
A Hidden Markov Model of Customer Relationship Dynamics
Marketing Science, March 1, 2008; 27(2): 185 - 204.
[Abstract] [PDF]


Home page
Management ScienceHome page
R. Soyer and M. M. Tarimcilar
Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach
Management Science, February 1, 2008; 54(2): 266 - 278.
[Abstract] [PDF]


Home page
Management ScienceHome page
R. L. Andrews, A. Ainslie, and I. S. Currim
On the Recoverability of Choice Behaviors with Random Coefficients Choice Models in the Context of Limited Data and Unobserved Effects
Management Science, January 1, 2008; 54(1): 83 - 99.
[Abstract] [PDF]


Home page
Management ScienceHome page
S. Borle, S. S. Singh, and D. C. Jain
Customer Lifetime Value Measurement
Management Science, January 1, 2008; 54(1): 100 - 112.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
T. Evgeniou, M. Pontil, and O. Toubia
A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation
Marketing Science, November 1, 2007; 26(6): 805 - 818.
[Abstract] [PDF]


Home page
Management ScienceHome page
R. Pieters, M. Wedel, and J. Zhang
Optimal Feature Advertising Design Under Competitive Clutter
Management Science, November 1, 2007; 53(11): 1815 - 1828.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
O. Toubia, J. Hauser, and R. Garcia
Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application
Marketing Science, September 1, 2007; 26(5): 596 - 610.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
M. Yee, E. Dahan, J. R. Hauser, and J. Orlin
Greedoid-Based Noncompensatory Inference
Marketing Science, July 1, 2007; 26(4): 532 - 549.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
F. M. Bass, N. Bruce, S. Majumdar, and B. P. S. Murthi
Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship
Marketing Science, March 1, 2007; 26(2): 179 - 195.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
T. J. Gilbride and G. M. Allenby
Estimating Heterogeneous EBA and Economic Screening Rule Choice Models
Marketing Science, September 1, 2006; 25(5): 494 - 509.
[Abstract] [PDF]


Home page
Management ScienceHome page
J. D. Camm, J. J. Cochran, D. J. Curry, and S. Kannan
Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem
Management Science, March 1, 2006; 52(3): 435 - 447.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
R. T. Rust and P. C. Verhoef
Optimizing the Marketing Interventions Mix in Intermediate-Term CRM
Marketing Science, January 1, 2005; 24(3): 477 - 489.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
D. Cui and D. Curry
Prediction in Marketing Using the Support Vector Machine
Marketing Science, January 1, 2005; 24(4): 595 - 615.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
S. M. Shugan
Endogeneity in Marketing Decision Models
Marketing Science, January 1, 2004; 23(1): 1 - 3.
[Abstract] [PDF]


Home page
Marketing ScienceHome page
S. M. Shugan
Editorial: Journal Rankings: Save the Outlets for Your Research
Marketing Science, January 1, 2003; 22(4): 437 - 441.
[Abstract] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by INFORMS.