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. 2001.01890
  4. Cited By
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
v1v2v3 (latest)

Statistical Inference for High-Dimensional Matrix-Variate Factor Model

7 January 2020
Elynn Y. Chen
Jianqing Fan
ArXiv (abs)PDFHTML

Papers citing "Statistical Inference for High-Dimensional Matrix-Variate Factor Model"

6 / 6 papers shown
Title
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba
Emanuele Troiani
Luca Biggio
Antoine Maillard
Lenka Zdeborová
187
2
0
24 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu
Junyi Mo
Elynn Chen
Yuzhou Chen
105
1
0
20 Oct 2024
KoPA: Automated Kronecker Product Approximation
KoPA: Automated Kronecker Product Approximation
Chencheng Cai
Rong Chen
Han Xiao
52
13
0
05 Dec 2019
Factor Models for High-Dimensional Tensor Time Series
Factor Models for High-Dimensional Tensor Time Series
Rong Chen
Dan Yang
Cun-Hui Zhang
AI4TS
109
95
0
18 May 2019
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
187
485
0
04 Jun 2012
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
156
855
0
30 Dec 2011
1