Abstract Details
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Activity Number:
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176
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309274 |
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Title:
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Estimating Simultaneous Confidence Bands for the Mean Function: A Wild Bootstrap Approach
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Author(s):
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Chung Chang*+ and R. Todd Ogden
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Companies:
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NSYSU and Columbia University
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Keywords:
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functional data ;
simultaneous confidence band ;
wild bootstrap ;
mean function
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Abstract:
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In functional data analysis, simultaneous inference is important and has many applications. We propose a wild bootstrap approach to estimate the simultaneous confidence band for the mean function of a set of random functions with any dimensionality (such as one dimensional curves or 2- or 3- dimensional images). We will report some theoretical justifications of this method and present some simulation results. In addition, a real image data application will be presented.
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Authors who are presenting talks have a * after their name.
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