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240 Mon, 7/30/2012, 2:00 PM - 3:50 PM CC-Room 27A
Section on Statistics and Marketing - 3 — Contributed Papers
Section on Statistics in Marketing
Chair(s): Michael Trusov, University of Maryland
2:05 PM A SVM Approach to Netlift Modeling Ruiwen Zhang, SAS Institute ; Taiyeong Lee, SAS Institute
2:20 PM Hierarchical Bayesian Classifier for High-Dimensional Online Behavior Data Applied to Consumer Segment Prediction and Behavior Insights Amit Phansalkar, Compete Inc.
2:35 PM A Competing Risk and Bayesian Learning Model of Retail Out-of-Stocks Jason Duan, The University of Texas at Austin ; Frenkel ter Hofstede, The University of Texas at Austin
2:50 PM Bringing Heterogeneity Into Customer Equity Calculations Bruce Hardie, London Business School ; Peter Fader, The Wharton School ; Yuzhou Liu, Leonard N. Stern School of Business
3:05 PM Capturing Heterogeneity in Engagement on a Social eCommerce Platform Lynd Bacon, Loma Buena Associates ; Peter Lenk, University of Michigan ; Danielle Murray, Shutterfly Inc. ; Jean Durall, Shutterfly Inc.
3:20 PM The Use of Inverse Regression, Topic Models, and Sentiment Engines to Tone and Categorize Comments Kurt Pflughoeft, Maritz ; Felix Flory, evolve24 ; Carrie Lu, evolve24
3:35 PM Inferring Ad Influence Under Segmentation Bias Jaimyoung Kwon, AOL Advertising ; Ram Akella, University of California at Santa Cruz ; Joel Barajas, University of California at Santa Cruz ; Aaron Flores, AOL Advertising ; Victor Andrei, AOL Advertising ; Marius Holtan, AOL Advertising



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