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On sufficient dimension reduction via principal asymmetric least squares

On sufficient dimension reduction via principal asymmetric least squares

12 February 2020
Abdul-Nasah Soale
Yuexiao Dong
ArXiv (abs)PDFHTML

Papers citing "On sufficient dimension reduction via principal asymmetric least squares"

3 / 3 papers shown
Title
The R package psvmSDR: A Unified Algorithm for Sufficient Dimension
  Reduction via Principal Machines
The R package psvmSDR: A Unified Algorithm for Sufficient Dimension Reduction via Principal Machines
Jungmin Shin
Seung Jun Shin
Andreas Artemiou
32
0
0
03 Sep 2024
Slice Weighted Average Regression
Slice Weighted Average Regression
Marina Masioti
Joshua J. Davies
Amanda Shaker
L. Prendergast
18
0
0
10 Sep 2022
A new reproducing kernel based nonlinear dimension reduction method for
  survival data
A new reproducing kernel based nonlinear dimension reduction method for survival data
Wenquan Cui
Jianjun Xu
Yuehua Wu
48
1
0
05 Sep 2019
1