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