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A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application
15 references·2 citing·50 second hop
A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application (2011)A probability-mapping algorithm for calib…Support vector machines for default prediction of SMEs based on technology credit (2009)Support vector machines for d…Subagging for credit scoring models (2009)Subagging for credit scoring …Semi-Supervised Response Modeling (2009)Semi-Supervised Response Mode…Forecasting cancellation rates for services booking revenue management using data mining (2009)Forecasting cancellation rate…Credit rating prediction using Ant Colony Optimization (2009)Credit rating prediction usin…Quantitative models for direct marketing: A review from systems perspective (2008)Quantitative models for direc…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Determining the optimal direct mailing frequency (2003)Determining the optimal direc…Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Bayesian neural network learn…Application of multiple adaptive regression splines (MARS) in direct response modeling (2002)Application of multiple adapt…A Dynamic Model of Purchase Timing with Application to Direct Marketing (1999)A Dynamic Model of Purchase T…Direct marketing modeling with CART and CHAID (1997)Direct marketing modeling wit…Applying neural computing to target marketing (1997)Applying neural computing to …Applying neural computing to target marketing (1997)Applying neural computing to …Principles of Marketing (1972)Principles of MarketingTargeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision Making (2018)Targeting Customers for Profi…Considering endogeneity for optimal catalog allocation in direct marketing (2010)Considering endogeneity for o…A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data (1984)A Probabilistic Choice Model for Market Segmentation and Elasticity Structure (1989)Marketing models of consumer heterogeneity (1998)The Effect of Banner Advertising on Internet Purchasing (2006)Choosing the Right Metrics to Maximize Profitability and Shareholder Value (2009)Practice Prize Winner—Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey (2013)The Theory and Practice of Revenue Management (2004)The Theory and Practice of Revenue Management (2005)Competing on analytics. 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References

  • 1972Principles of Marketing5,587 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2009Support vector machines for default prediction of SMEs based on technology credit221 cited
  • 2002Bayesian neural network learning for repeat purchase modelling in direct marketing218 cited
  • 2009Subagging for credit scoring models213 cited
  • 2008Quantitative models for direct marketing: A review from systems perspective182 cited
  • 1999A Dynamic Model of Purchase Timing with Application to Direct Marketing171 cited
  • 1997Applying neural computing to target marketing125 cited
  • 1997Direct marketing modeling with CART and CHAID124 cited
  • 2009Forecasting cancellation rates for services booking revenue management using data mining98 cited
  • 2002Application of multiple adaptive regression splines (MARS) in direct response modeling79 cited
  • 2009Credit rating prediction using Ant Colony Optimization66 cited
  • 2003Determining the optimal direct mailing frequency47 cited
  • 1997Applying neural computing to target marketing37 cited
  • 2009Semi-Supervised Response Modeling25 cited

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Cited by

  • 2010Considering endogeneity for optimal catalog allocation in direct marketing11 cited
  • 2018Targeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision Making11 cited