Robust Dynamic Estimation
Published Online:9 Mar 2017https://doi.org/10.1287/mksc.2016.1010
References
- (2010) Personal selling elasticities: A meta-analysis. J. Marketing Res. 47(5):840–853.Crossref, Google Scholar
- (2014) Managing blood donations with marketing. Marketing Sci. 34(2):269–280.Link, Google Scholar
- (2008) Building brands. Marketing Sci. 27(6):1036–1054.Link, Google Scholar
- (1992) Linear dynamic estimation. Unpublished doctoral dissertation, University of Texas, Austin.Google Scholar
- (1995) H∞-Optimal Control and Related Minimax Design Problems: A Dynamic Game Approach (Birkhäuser, Boston).Google Scholar
- (2003) Clicks and mortar: The effect of online activities and offline sales. Marketing Lett. 14(1):21–32.Crossref, Google Scholar
- (1996) Introduction to Time Series and Forecasting (Springer, New York).Crossref, Google Scholar
- (1979) The Long Island blood distribution system as a prototype for provincial blood management. Interfaces 9(5):3–20.Link, Google Scholar
- (2008) Pooling and dynamic forgetting effects in multitheme advertising: Tracking the advertising sales relationship with particle filters. Marketing Sci. 27(4):659–673.Link, Google Scholar
- (2012) Discovering how advertising grows sales and builds brands. J. Marketing Res. 49(6):793–806.Crossref, Google Scholar
- (2003) Optimal marketing. Harvard Bus. Rev. 81(10):114–121.Google Scholar
- (1963) Asymptotic normality and consistency of the least squares estimator for families of linear regression. Ann. Math. Statist. 34(2):447–456.Crossref, Google Scholar
- (1967) Limit theorems for regression with unequal and dependent errors. Le Cam LM, Neyman J, eds. Proc. Fifth Berkeley Sympos. Math. Statist. Probab. (University of California Press, Berkeley, CA), 59–82.Google Scholar
- (1998) Advertising Budgeting: A Report from the Field (American Association of Advertising Agencies, New York).Google Scholar
- (1922) On the mathematical foundations of theoretical statistics. Philos. Trans. Roy. Soc. A 222:309–368.Crossref, Google Scholar
- (1993) Marketing mix models. Eliashberg J, Lilien GL, eds. Handbooks in Operations Research and Management Science, Marketing, Vol. 5 (North-Holland, Amsterdam), 697–732.Google Scholar
- (2008) Allocating marketing resources. Kerin RA, O’Regan R, eds. Marketing Mix Decisions: New Perspectives and Practices (American Marketing Association Publication, Chicago), 3–37.Google Scholar
- (1989) Forecasting Structural Time Series Models and the Kalman Filter (Cambridge Universtity Press, Cambridge, UK).Google Scholar
- (1977) Jacknifing in unbalanced situations. Technometrics 19(3):285–292.Crossref, Google Scholar
- (1967) The behavior of maximum likelihood estimates under nonstandard conditions. Le Cam LM, Neyman J, eds. Proc. Fifth Berkeley Sympos. Math. Statist. Probab. (University of California Press, Berkeley, CA), 221–233.Google Scholar
- (1960) A new approach to linear filtering and prediction problems. J. Basic Engrg. 82(March):35–45.Crossref, Google Scholar
- (2015) Correcting for misspecification in parameter dynamics to improve forecast accuracy with adaptively estimated models. Management Sci. 61(10):2495–2513.Link, Google Scholar
- (2010) Bayesian multivariate time series methods for empirical macroeconomics. Foundations Trends Econometrics 3(4):267–358.Crossref, Google Scholar
- (1998) Commission of Inquiry on the Blood System in Canada. Minister of Supply and Services, Ottawa, Ontario, Canada. http://publications.gc.ca/collections/Collection/CP32-62-3-1997-1E.pdf.Google Scholar
- (2012) Increasing the ROI of social media marketing. MIT Sloan Rev. 54(1):55–61.Google Scholar
- (2006) Modeling preference evolution in discrete choice models: A Bayesian state-space approach. Quant. Marketing Econom. 4(1):57–81.Crossref, Google Scholar
- (1975) BRANDAID: A marketing-mix model, Part 1: Structure and Part 2: Implementation, calibration and case study. Oper. Res. 23(4):628–673.Link, Google Scholar
- (2015) The dynamic impact of product-harm crises on brand equity and advertising effectiveness: An empirical analysis of the automobile industry. Management Sci. 61(10):2514–2535.Link, Google Scholar
- (2005) New Introduction to Multiple Time Series Analysis (Springer, Berlin).Crossref, Google Scholar
- (2002) Allocating marketing resources. Weitz BA, Wesley R, eds. Handbook of Marketing (Sage, London), 409–435.Crossref, Google Scholar
- (1998) Planning media schedules in the presence of dynamic advertising quality. Marketing Sci. 17(3):214–235.Link, Google Scholar
- (2008) Building brand awareness in dynamic oligopoly markets. Management Sci. 54(1):129–138.Link, Google Scholar
- (2013) Advertising analytics 2.0. Harvard Bus. Rev. 91(3):60–68.Google Scholar
- (1984) Blood inventory management: An overview of theory and practice. Management Sci. 30(7):777–800.Link, Google Scholar
- (2002) Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd ed. (Sage, Thousand Oaks, CA).Google Scholar
- (2011) Optimal advertising when envisioning a product-harm crisis. Marketing Sci. 40(6): 1048–1065.Link, Google Scholar
- (2000) Optimal Control Theory: Applications to Management Science and Economics (Springer, New York).Google Scholar
- (2011) How well does advertising work? Generalizations from meta-analysis of brand advertising elasticities. J. Marketing Res. 48(3):457–471.Crossref, Google Scholar
- (2008) Strategic allocation of marketing resources: Methods and insights. Kerin RA, O’Regan R, eds. Marketing Mix Decisions: New Perspectives and Practices (American Marketing Association, Chicago), 154–183.Crossref, Google Scholar
- (2011) Time Series Analysis and Its Applications. With R Examples (Springer-Verlag, New York).Crossref, Google Scholar
- (2006) Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches (John Wiley and Sons, Hoboken, NJ).Crossref, Google Scholar
- (1994) Game theory approach to H∞-optimal discrete-time fixed-point and fixed-lag smoothing. IEEE Trans. Automatic Control 30(9):1944–1948.Crossref, Google Scholar
- (2004) The shape of advertising response function revisited: A model of dynamic probabilistic thresholds. Marketing Sci. 23(1):109–119.Link, Google Scholar
- (2013) Price and advertising effectiveness over the business cycle. J. Marketing Res. 50(2):177–193.Crossref, Google Scholar
- (1975) A Bayesian approach to real estate assessment. Feinberg SE, Zellner A, eds. Studies in Bayesian Econometrics and Statistics in Honor of L.J. Savage (North-Holland, Amsterdam), 195–208.Google Scholar
- (1950) Statistical Decision Functions (John Wiley, New York).Google Scholar
- (1997) Bayesian Forecasting and Dynamic Models (Springer-Verlag, New York).Google Scholar
- (1980) A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 48(4):817–838.Crossref, Google Scholar
- (1982) Maximum likelihood estimation of misspecified models. Econometrica 50(1):1–25.Crossref, Google Scholar
- (1981) Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses. IEEE Trans. Automatic Control 26(2):301–320.Crossref, Google Scholar
- (1986) Bayesian estimation and prediction using asymmetric loss functions. J. Amer. Statist. Assoc. 81(394):446–451.Crossref, Google Scholar

