Modeling Multivariate Distributions Using Copulas: Applications in Marketing
Published Online:4 Nov 2010https://doi.org/10.1287/mksc.1090.0491
References
- Advertising Age FactPack: 4th annual guide to advertising and marketing. (2006) . Retrieved May 22, 2008, http://adage.com/images/random/FactPack06.pdfGoogle Scholar
- Bayesian analysis of binary and polychotomous response data. J. Amer. Statist. Assoc. (1993) 88(422):669–679Crossref, Google Scholar
- Shopping behavior and consumer preference for store price format: Why “large basket” shoppers prefer EDLP. Marketing Sci. (1998) 17(1):66–88Link, Google Scholar
- Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage. Statistica Sinica (2000) 10:1281–1311Google Scholar
- A hierarchical Bayes model for assortment choice. J. Marketing Res. (2000) 37(2):259–268Crossref, Google Scholar
- A model of web site browsing behavior estimated on clickstream data. J. Marketing Res. (2003) 40(August):249–267Crossref, Google Scholar
- A Comparative Study of Media Exposure Models (1986) (Garland, New York) Google Scholar
- Copula Methods in Finance (2004) (John Wiley & Sons, New York) Crossref, Google Scholar
- Investigating purchase timing behavior in two related product categories. J. Marketing Res. (1998) 35(February):43–53Crossref, Google Scholar
- A canonical expansion model for multivariate media exposure distributions: A generalization of the duplication of viewing law. J. Marketing Res. (1991) 28(August):361–367Crossref, Google Scholar
- Some statistical modeling problems in the advertising industry: A look at media exposure distributions. Amer. Statistician (1992) 46(4):254–260Crossref, Google Scholar
- Optimal pricing of new subscription services: Analysis of a market experiment. Marketing Sci. (2002) 21(2):119–138Link, Google Scholar
- Modeling page views across multiple websites with an application to Internet reach and frequency prediction. Marketing Sci. (2007) 26(3):422–437Link, Google Scholar
- Bacon with your eggs? Applications of a new bivariate beta-binomial distribution. Amer. Statistician (2005) 59(4):282–286Crossref, Google Scholar
- Factors affecting website visit duration: A cross-domain analysis. J. Marketing Res. (2006) 43(May):182–194Crossref, Google Scholar
- The grouped t-copula with an application to credit risk. Risk (2003) 16(11):73–76Google Scholar
- Competing on Analytics: The New Science of Winning (2007) (Harvard Business School Press, Boston) Google Scholar
- Multivariate analysis of multiple response data. J. Marketing Res. (2003) 40(August):321–334Crossref, Google Scholar
- Repeat Buying: Facts, Theory and Applications (1988) 2nd ed.(Charles Griffin and Company Limited, London) Google Scholar
- How to project customer retention. J. Interactive Marketing (2007) 21(1):76–90Crossref, Google Scholar
- Understanding relationships using copulas. North Amer. Actuarial J. (1998) 2(1):1–25Crossref, Google Scholar
- The joy of copulas: Bivariate distributions with uniform marginals. Amer. Statistician (1986) 40(4):280–283Google Scholar
- Numerical computation of multivariate normal probabilities. J. Comput. Graphical Statist. (1992) 1(2):141–149Google Scholar
- Methods for the computation of multivariate t-probabilities. J. Comput. Graphical Statist. (2002) 11(4):950–971Crossref, Google Scholar
- The Dirichlet: A comprehensive model of buying behavior. J. Royal Statist. Soc. A (1984) 147(5):621–655Crossref, Google Scholar
- A logit model of brand choice calibrated on scanner data. Marketing Sci. (1983) 2(3):203–238Link, Google Scholar
- Bivariate exponential distributions. J. Amer. Statist. Assoc. (1960) 55(292):698–707Crossref, Google Scholar
- Asymmetries in stock returns: Statistical tests and economic evaluation. Rev. Financial Stud. (2007) 20(5):1547–1581Crossref, Google Scholar
- Modeling the audience's banner ad exposure for Internet advertising planning. J. Advertising (2006) 35(2):23–37Crossref, Google Scholar
- IAB IAB Internet advertising revenue report. (2008) May 23). Retrieved June 3, http://www.iab.net/media/file/IAB_PwC_2007_full_year.pdfGoogle Scholar
- Investigating household purchase timing decisions: A conditional hazard function approach. Marketing Sci. (1991) 10(1):1–23Link, Google Scholar
- Multivariate Models and Dependence Concepts (1997) (Chapman & Hall, London) Crossref, Google Scholar
- Continuous Univariate Distributions (1995) 12nd ed.(John Wiley & Sons, New York) Google Scholar
- Discrete Multivariate Distributions (1997) (John Wiley & Sons, New York) Google Scholar
- Continuous Multivariate Distributions (2000) 12nd ed.(John Wiley & Sons, New York) Crossref, Google Scholar
- The Dirichlet multinomial distribution as a magazine exposure model. J. Marketing Res. (1984) 21(1):100–106Crossref, Google Scholar
- Properties and applications of the Sarmanov family of bivariate distributions. Comm. Statist.: Theory Methods (1996) 25(6):1207–1222Crossref, Google Scholar
- Building Models for Marketing Decisions (2000) (Kluwer Academic Publishers, Boston) Crossref, Google Scholar
- Marketing Models (1992) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
- Dynamic conversion behavior at e-commerce sites. Management Sci. (2004) 50(3):326–335Link, Google Scholar
- Generalizing the NBD model for customer purchases: What are the implications and is it worth the effort? J. Bus. Econom. Statist. (1988) 6(2):145–159Crossref, Google Scholar
- An Introduction to Copulas (2006) 2nd ed.(Springer, New York) Springer Series in StatisticsGoogle Scholar
- Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models. J. Econometrics (2008) 143(2):291–316Crossref, Google Scholar
- Modeling browsing behavior at multiple websites. Marketing Sci. (2004) 23(3):280–303Link, Google Scholar
- Efficient Bayesian inference for Gaussian copula regression models. Biometrika (2006) 93(3):537–554Crossref, Google Scholar
- Extreme value dependence in financial markets: Diagnostics, models, and financial implications. Rev. Financial Stud. (2004) 17(2):581–610Crossref, Google Scholar
- Monte Carlo Statistical Methods (2004) 2nd ed.(Springer, New York) Crossref, Google Scholar
- Statistics and marketing. J. Amer. Statist. Assoc. (2000) 95(450):635–638Crossref, Google Scholar
- Bayesian statistics and marketing. Marketing Sci. (2003) 22(3):303–328Link, Google Scholar
- Overcoming scale usage heterogeneity: A Bayesian hierarchical approach. J. Amer. Statist. Assoc. (2001) 96(March):20–31Crossref, Google Scholar
- Advanced Media Planning (1998) (Kluwer Academic Publishers, Norwell, MA) Crossref, Google Scholar
- Advertising Media Models: A Practical Guide (1986) (Lexington Books, Lexington, MA) Google Scholar
- Generalized normal correlations and two-dimensional Fréchet classes. Doklady (Soviet Mathematics) (1966) 168:596–599Google Scholar
- Counting your customers: Who are they and what will they do next? Management Sci. (1987) 33(1):1–24Link, Google Scholar
- Understanding service retention within and across cohorts using limited information. J. Marketing (2008a) 71(January):82–94Crossref, Google Scholar
- A bivariate timing model of customer acquisition and retention. Marketing Sci. (2008b) 27(5):829–843Link, Google Scholar
- Fonctions de répartition à n dimensions et leurs marges. Publications de l'Institut de Statistique de L'Université de Paris (1959) 8:229–231Google Scholar
- Parsimonious covariance matrix estimation for longitudinal data. J. Amer. Statist. Assoc. (2002) 97(December):1141–1153Crossref, Google Scholar
- Bayesian semiparametric regression: An exposition and application to print advertising data. J. Bus. Res. (2000) 49(3):229–244Crossref, Google Scholar
- Multivariate dispersion models generated from Gaussian copula. Scandinavian J. Statist. (2000) 27(2):305–320Crossref, Google Scholar
- Copula modeling: An introduction for practitioners. Foundations Trends Econometrics (2005) 1(1):1–111Crossref, Google Scholar

