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Activity Number: 514
Type: Topic Contributed
Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Consulting
Abstract - #309927
Title: A Regularized Regression for Large-Scale Online Advertising
Author(s): Li Qin*+
Companies: Amazon
Keywords: Big data ; Regularized regression
Abstract:

In this paper we propose a new regularized method for analyzing large scale online advertising data which incorporates multivariate outcome and high dimensional predictors. We consider both linear regression for continuous outcomes and logistic regression for binary outcomes. The proposed method controls the overall sparsity of the model and can handle group selection of correlated predictors. We compare the performance of the new method and existing method via simulations.


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