ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0904.0076
  4. Cited By
An RKHS formulation of the inverse regression dimension-reduction
  problem

An RKHS formulation of the inverse regression dimension-reduction problem

1 April 2009
T. Hsing
Haobo Ren
ArXivPDFHTML

Papers citing "An RKHS formulation of the inverse regression dimension-reduction problem"

5 / 5 papers shown
Title
Functional linear and single-index models: A unified approach via
  Gaussian Stein identity
Functional linear and single-index models: A unified approach via Gaussian Stein identity
Krishnakumar Balasubramanian
Hans-Georg Müller
Bharath K. Sriperumbudur
22
6
0
08 Jun 2022
Dimension Reduction for Fréchet Regression
Dimension Reduction for Fréchet Regression
Q. Zhang
Lingzhou Xue
Bing Li
29
12
0
01 Oct 2021
Functional linear regression with points of impact
Functional linear regression with points of impact
A. Kneip
D. Poss
P. Sarda
21
41
0
12 Jan 2016
A general theory for nonlinear sufficient dimension reduction:
  Formulation and estimation
A general theory for nonlinear sufficient dimension reduction: Formulation and estimation
Kuang‐Yao Lee
Bing Li
Francesca Chiaromonte
63
88
0
02 Apr 2013
Deciding the dimension of effective dimension reduction space for
  functional and high-dimensional data
Deciding the dimension of effective dimension reduction space for functional and high-dimensional data
Yehua Li
T. Hsing
83
55
0
11 Nov 2010
1