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Dimension Reduction for Fréchet Regression

Dimension Reduction for Fréchet Regression

1 October 2021
Q. Zhang
Lingzhou Xue
Bing Li
ArXivPDFHTML

Papers citing "Dimension Reduction for Fréchet Regression"

17 / 17 papers shown
Title
Nonlinear Sufficient Dimension Reduction for
  Distribution-on-Distribution Regression
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Q. Zhang
Bing Li
Lingzhou Xue
59
12
0
11 Jul 2022
Single Index Fréchet Regression
Single Index Fréchet Regression
S. Bhattacharjee
Hans-Georg Müller
20
18
0
11 Aug 2021
Fréchet Sufficient Dimension Reduction for Random Objects
Fréchet Sufficient Dimension Reduction for Random Objects
Chao Ying
Zhou Yu
97
15
0
01 Jul 2020
Convergence and Concentration of Empirical Measures under Wasserstein
  Distance in Unbounded Functional Spaces
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
Jing Lei
31
119
0
27 Apr 2018
Fréchet Analysis Of Variance For Random Objects
Fréchet Analysis Of Variance For Random Objects
Paromita Dubey
Hans-Georg Müller
23
79
0
08 Oct 2017
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional
  Predictors
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
Wei Luo
Lingzhou Xue
Jiawei Yao
Xiufan Yu
AI4TS
50
15
0
01 May 2017
Functional data analysis for density functions by transformation to a
  Hilbert space
Functional data analysis for density functions by transformation to a Hilbert space
Alexander Petersen
Hans-Georg Müller
15
174
0
12 Jan 2016
Sufficient Forecasting Using Factor Models
Sufficient Forecasting Using Factor Models
Jianqing Fan
Lingzhou Xue
Jiawei Yao
AI4TS
55
77
0
27 May 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
Aasa Feragen
F. Lauze
Søren Hauberg
BDL
31
144
0
02 Nov 2014
On the rate of convergence in Wasserstein distance of the empirical
  measure
On the rate of convergence in Wasserstein distance of the empirical measure
N. Fournier
Arnaud Guillin
75
1,138
0
07 Dec 2013
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
74
88
0
02 Apr 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
101
681
0
25 Jul 2012
Sufficient dimension reduction based on an ensemble of minimum average
  variance estimators
Sufficient dimension reduction based on an ensemble of minimum average variance estimators
Xiangrong Yin
Bing Li
29
76
0
15 Mar 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
126
526
0
03 Mar 2010
On dimension folding of matrix- or array-valued statistical objects
On dimension folding of matrix- or array-valued statistical objects
Bing Li
Min Kyung Kim
N. Altman
80
117
0
25 Feb 2010
An RKHS formulation of the inverse regression dimension-reduction
  problem
An RKHS formulation of the inverse regression dimension-reduction problem
T. Hsing
Haobo Ren
76
53
0
01 Apr 2009
On surrogate dimension reduction for measurement error regression: An
  invariance law
On surrogate dimension reduction for measurement error regression: An invariance law
Bing Li
Xiangrong Yin
77
20
0
06 Dec 2007
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