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On dimension folding of matrix- or array-valued statistical objects

On dimension folding of matrix- or array-valued statistical objects

25 February 2010
Bing Li
Min Kyung Kim
N. Altman
ArXiv (abs)PDFHTML

Papers citing "On dimension folding of matrix- or array-valued statistical objects"

20 / 20 papers shown
Title
Structure-preserving non-linear PCA for matrices
Structure-preserving non-linear PCA for matrices
Joni Virta
A. Artemiou
37
0
0
10 Oct 2023
Sufficient dimension reduction for feature matrices
Sufficient dimension reduction for feature matrices
Chanwoo Lee
47
0
0
07 Mar 2023
Nonlinear Sufficient Dimension Reduction for
  Distribution-on-Distribution Regression
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Q. Zhang
Bing Li
Lingzhou Xue
82
12
0
11 Jul 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Zhongyuan Lyu
Dong Xia
91
4
0
11 Jul 2022
Poisson PCA for matrix count data
Poisson PCA for matrix count data
Joni Virta
A. Artemiou
52
3
0
27 Oct 2021
Joint Functional Gaussian Graphical Models
Joint Functional Gaussian Graphical Models
Ilias Moysidis
Bing Li
44
3
0
13 Oct 2021
Dimension Reduction for Fréchet Regression
Dimension Reduction for Fréchet Regression
Q. Zhang
Lingzhou Xue
Bing Li
69
15
0
01 Oct 2021
On sufficient dimension reduction via principal asymmetric least squares
On sufficient dimension reduction via principal asymmetric least squares
Abdul-Nasah Soale
Yuexiao Dong
33
5
0
12 Feb 2020
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate
  Regression in Brain Connectivity Analysis
A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis
Damian Brzyski
Xixi Hu
J. Goñi
B. Ances
T. Randolph
J. Harezlak
25
1
0
30 Jan 2020
Sparse Tensor Additive Regression
Sparse Tensor Additive Regression
Botao Hao
Boxiang Wang
Pengyuan Wang
Jingfei Zhang
Jian Yang
W. Sun
MedIm
73
27
0
31 Mar 2019
Supervised Multiscale Dimension Reduction for Spatial Interaction
  Networks
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks
Shaobo Han
David B. Dunson
24
1
0
01 Jan 2019
Generalized Linear Model Regression under Distance-to-set Penalties
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu
Eric C. Chi
K. Lange
119
36
0
03 Nov 2017
Blind source separation of tensor-valued time series
Blind source separation of tensor-valued time series
Joni Virta
K. Nordhausen
AI4TS
31
16
0
30 Mar 2017
A penalized likelihood method for classification with matrix-valued
  predictors
A penalized likelihood method for classification with matrix-valued predictors
Aaron J. Molstad
Adam J. Rothman
68
15
0
23 Sep 2016
Matrix-Variate Regressions and Envelope Models
Matrix-Variate Regressions and Envelope Models
Shanshan Ding
R. Dennis Cook
61
64
0
05 May 2016
Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
Scalar-on-Image Regression via the Soft-Thresholded Gaussian Process
Jian Kang
Brian J. Reich
A. Staicu
54
74
0
12 Apr 2016
JADE for Tensor-Valued Observations
JADE for Tensor-Valued Observations
Joni Virta
Bing Li
K. Nordhausen
H. Oja
33
16
0
17 Mar 2016
Independent component analysis for tensor-valued data
Independent component analysis for tensor-valued data
Joni Virta
Bing Li
K. Nordhausen
H. Oja
30
33
0
02 Feb 2016
Regularized Matrix Regression
Regularized Matrix Regression
Hua Zhou
Lexin Li
107
200
0
15 Apr 2012
On Multilinear Principal Component Analysis of Order-Two Tensors
On Multilinear Principal Component Analysis of Order-Two Tensors
Hung Hung
Pei-Shien Wu
I. Tu
Su‐Yun Huang
70
46
0
28 Apr 2011
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