Abstract Number:
3415
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Harris Quach (1), Wensheng Guo (2), Wei Yang (1)
Institutions:
(1) University of Pennsylvania, N/A, (2) University of Pennsylvania Perelman School of Medicine, N/A
Co-Author(s):
Wensheng Guo
University of Pennsylvania Perelman School of Medicine
First Author:
Presenting Author:
Abstract Text:
We consider an alternative perspective on functional sliced inverse regression that leads to a novel estimator for the functional central subspace. The estimator provides some improvements over conventional functional sliced inverse regression in terms of simplicity of implementation and recovery of less smooth effective directions. We provide some theoretical results, some numerical analyses and an application to the Chronic Renal Insufficiency Cohort study.
Keywords:
Sliced Inverse Regression|Sufficient Dimension Reduction|Functional Data| | |
Sponsors:
Biometrics Section
Tracks:
High Dimensional Regression
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