Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations

References

• Ansari A, Mela CF (2003) E-customization. J. Marketing Res. 40(2):131–145.Crossref, Google Scholar
• Carpenter B, Gelman A, Hoffman M, Lee D, Goodrich B, Betancourt M, Brubaker MA, Li P, Riddell A (2017) Stan: A probabilistic programming language. J. Statist. Software 20:1–37.Google Scholar
• Durbin J, Koopman SJS (2012) Time Series Analysis by State Space Methods, 2nd ed. (Oxford University Press, Oxford, UK).Crossref, Google Scholar
• Duvenaud D, Lloyd J, Grosse R, Tenenbaum J, Zoubin G (2013) Structure discovery in nonparametric regression through compositional kernel search. Dasgupta S, McAllester D, eds. Proc. 30th Internat. Conf. Machine Learn., Vol. 28, 1166–1174.Google Scholar
• Fader P, Hardie B, Lee KL (2005) Counting your customers the easy way: An alternative to the Pareto/NBD model. Marketing Sci. 24(2):275–284.Link, Google Scholar
• Fader P, Hardie B, Shang J (2010) Customer-base analysis in a discrete-time noncontractual setting. Marketing Sci. 29(6):1086–1108.Link, Google Scholar
• Gelman A, Rubin DB (1992) Inference from iterative simulation using multiple sequences. Statist. Sci. 7(4):457–511.Crossref, Google Scholar
• Gilboa E, Saatci Y, Cunningham JP (2015) Scaling multidimensional inference for structured Gaussian processes. IEEE Trans. Pattern Anal. Machine Intelligence 37(2):424–436.Crossref, Google Scholar
• Gupta S (1991) Stochastic models of interpurchase time with time-dependent covariates. J. Marketing Res. 28(1):1–15.Crossref, Google Scholar
• Hanssens DM, Parsons LJ, Schultz RL (2001) Market Response Models: Econometric and Time Series Analysis, 2nd ed. (Kluwer Academic Publishers, Norwell, MA).Google Scholar
• Hoffman M, Gelman A (2014) The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo. J. Machine Learn. Res. 15(1):1351–1381.Google Scholar
• Jerath K, Fader PS, Hardie BG (2011) New perspectives on customer death using a generalization of the Pareto/NBD model. Marketing Sci. 30(5):866–880.Link, Google Scholar
• Kalyanam K, Shively TS (1998) Estimating irregular pricing effects: A stochastic spline regression approach estimating irregular pricing effects: A stochastic spline regression approach. J. Marketing Res. 35(1):16–29.Crossref, Google Scholar
• Kim JG, Menzefricke U, Feinberg FM (2007) Capturing flexible heterogeneous utility curves: A Bayesian spline approach. Management Sci. 53(2):340–354.Link, Google Scholar
• Li Y, Ansari A (2014) A Bayesian semiparametric approach for endogeneity and heterogeneity in choice models. Management Sci. 60(5):1161–1179.Link, Google Scholar
• Neal RM (1998) Regression and classification using Gaussian process priors. Bernardo JM, ed. Bayesian Statistics 6 (Oxford University Press, Oxford, UK), 475–501.Google Scholar
• Neslin SA, Gupta S, Kamakura W, Lu J, Mason CH (2006) Defection detection: Measuring and understanding the predictive accuracy of customer churn models. J. Marketing Res. 43(2):204–211.Crossref, Google Scholar
• Pauwels K, Ambler T, Clark BH, LaPointe P, Reibstein D, Skiera B, Wierenga B, Wiesel T (2009) Dashboards as a service: Why, what, how, and what research is needed? J. Service Res. 12(2):175–189.Crossref, Google Scholar
• Rasmussen E, Williams KI (2006) Gaussian Processes for Machine Learning (MIT Press, Cambridge, MA).Google Scholar
• Roberts S, Osborne M, Ebden M, Reece S, Gibson N, Aigrain S (2013) Gaussian processes for time-series modelling. Philos. Trans. Ser. A, Math., Phys., Engrg. Sci. 371(1984):20110550.Crossref, Google Scholar
• Rossi PE (2014) Bayesian Non- and Semi-Parametric Methods and Applications, Econom. Tinbergen Institutes Lectures (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Schmittlein DC, Morrison DG, Colombo R (1987) Counting your customers: Who-are they and what will they do next? Management Sci. 33(1):1–24.Link, Google Scholar
• Schweidel DA, Knox G (2013) Incorporating direct marketing activity into latent attrition models. Marketing Sci. 32(3):471–487.Link, Google Scholar
• Seetharaman PB, Chintagunta PK (2003) The proportional hazard model for purchase timing: A comparison of alternative specifications. J. Bus. Econom. Statist. 21(3):368–382.Crossref, Google Scholar
• Shively TS, Allenby GM, Kohn R (2000) A nonparametric approach to identifying latent relationships in hierarchical models. Marketing Sci. 19(2):149–162.Link, Google Scholar
• Wedel M, Zhang J (2004) Analyzing brand competition across subcategories. J. Marketing Res. 41(4):448–456.Crossref, Google Scholar