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Abstract Details
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Activity Number:
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7
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Type:
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Invited
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #303747 |
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Title:
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Wavelet-Based Regression with Images as Predictors
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Author(s):
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Todd Ogden*+
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Companies:
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Columbia University
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Address:
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Department of Biostatistics, Columbia University, New York, NY, 10032,
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Keywords:
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functional data ;
brain imaging ;
wavelets
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Abstract:
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In many biomedical applications it is of interest to use imaging data or other very high dimensional data as predictors in regression models, e.g., to predict a patient's treatment outcome based on brain imaging data obtained at baseline. Obtaining meaningful fits in such problems requires some form of dimension reduction while taking into account the structure of the data. Wavelet analysis provides useful tools that can allow regression models to focus on important aspects of the images across a range of scales. This talk will demonstrate some methods for modeling such data and for data-adaptive selection of tuning parameters.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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