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A different approach to functional sliced inverse regression

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
Wei Yang  
University of Pennsylvania

First Author:

Harris Quach  
University of Pennsylvania

Presenting Author:

Harris Quach  
University of Pennsylvania

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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