An Outer-Product-of-Gradient Approach to Dimension Reduction and Its Application to Classification in High Dimensional Space
Journal of the American Statistical Association
Saved in:
Main Authors: | Zhibo Cai, Yingcun Xia, Weiqiang Hang |
---|---|
Other Authors: | STATISTICS & APPLIED PROBABILITY |
Format: | Article |
Published: |
Taylor & Francis
2023
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/245288 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
HIGH-DIMENSIONAL VARIABLE SCREENING AND DIMENSION REDUCTION AND THEIR APPLICATIONS TO CLASSIFICATION
by: CAI ZHIBO
Published: (2021) -
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces
by: Thanongchai Siriapisith, et al.
Published: (2019) -
A computationally efficient state-space partitioning approach to pricing high-dimensional American options via dimension reduction
by: Jin, X., et al.
Published: (2014) -
A constructive approach to the estimation of dimension reduction directions
by: Xia, Y.
Published: (2014) -
Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening
by: Efang Kong, et al.
Published: (2020)