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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

4 June 2012
Clifford Lam
Q. Yao
ArXivPDFHTML

Papers citing "Factor modeling for high-dimensional time series: Inference for the number of factors"

24 / 24 papers shown
Title
ExMAG: Learning of Maximally Ancestral Graphs
ExMAG: Learning of Maximally Ancestral Graphs
Petr Rysavý
Pavel Rytír
Xiaoyu He
Jakub Marecek
Georgios Korpas
CML
69
0
0
11 Mar 2025
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
Hao Shu
Jicheng Li
Yu Jin
Hailin Wang
AI4TS
52
0
0
28 Jan 2025
Factor Augmented Tensor-on-Tensor Neural Networks
Factor Augmented Tensor-on-Tensor Neural Networks
Guanhao Zhou
Yuefeng Han
Xiufan Yu
32
1
0
30 May 2024
Factor Strength Estimation in Vector and Matrix Time Series Factor
  Models
Factor Strength Estimation in Vector and Matrix Time Series Factor Models
Weilin Chen
Clifford Lam
AI4TS
38
1
0
12 May 2024
Testing for common structures in high-dimensional factor models
Testing for common structures in high-dimensional factor models
M. Duker
V. Pipiras
25
0
0
28 Mar 2024
Optimal vintage factor analysis with deflation varimax
Optimal vintage factor analysis with deflation varimax
Xin Bing
Dian Jin
Yuqian Zhang
Yuqian Zhang
13
1
0
16 Oct 2023
Factor-Augmented Regularized Model for Hazard Regression
Factor-Augmented Regularized Model for Hazard Regression
Pierre Bayle
Jianqing Fan
21
4
0
03 Oct 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
41
22
0
02 Mar 2022
Modelling matrix time series via a tensor CP-decomposition
Modelling matrix time series via a tensor CP-decomposition
Jinyuan Chang
Jingjing He
Lin Yang
Q. Yao
AI4TS
33
29
0
31 Dec 2021
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Euan T. McGonigle
Hankui Peng
36
1
0
08 Oct 2021
Inference on the maximal rank of time-varying covariance matrices using
  high-frequency data
Inference on the maximal rank of time-varying covariance matrices using high-frequency data
M. Reiß
Lars Winkelmann
15
4
0
01 Oct 2021
Wavelet eigenvalue regression in high dimensions
Wavelet eigenvalue regression in high dimensions
P. Abry
B. C. Boniece
G. Didier
H. Wendt
22
4
0
09 Aug 2021
Selecting the number of components in PCA via random signflips
Selecting the number of components in PCA via random signflips
David Hong
Yueqi Sheng
Edgar Dobriban
11
15
0
05 Dec 2020
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Elynn Y. Chen
Jianqing Fan
32
63
0
07 Jan 2020
Factor Models for High-Dimensional Tensor Time Series
Factor Models for High-Dimensional Tensor Time Series
Rong Chen
Dan Yang
Cun-Hui Zhang
AI4TS
21
90
0
18 May 2019
Improved Inference on the Rank of a Matrix
Improved Inference on the Rank of a Matrix
Qihui Chen
Z. Fang
11
25
0
06 Dec 2018
Robust high dimensional factor models with applications to statistical
  machine learning
Robust high dimensional factor models with applications to statistical machine learning
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
Ziwei Zhu
24
53
0
12 Aug 2018
Embracing the Blessing of Dimensionality in Factor Models
Embracing the Blessing of Dimensionality in Factor Models
Quefeng Li
Guang Cheng
Jianqing Fan
Yuyan Wang
19
34
0
25 Oct 2016
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices
  with general growth rates: the iid case
Eigenvalues and eigenvectors of heavy-tailed sample covariance matrices with general growth rates: the iid case
Johannes Heiny
T. Mikosch
23
23
0
24 Aug 2016
Extreme value analysis for the sample autocovariance matrices of
  heavy-tailed multivariate time series
Extreme value analysis for the sample autocovariance matrices of heavy-tailed multivariate time series
Richard A. Davis
Johannes Heiny
T. Mikosch
Xiao-Yi Xie
14
25
0
26 Apr 2016
Sufficient Forecasting Using Factor Models
Sufficient Forecasting Using Factor Models
Jianqing Fan
Lingzhou Xue
Jiawei Yao
AI4TS
42
76
0
27 May 2015
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
71
1,278
0
07 Aug 2013
Two sample tests for high-dimensional covariance matrices
Two sample tests for high-dimensional covariance matrices
Jun Yu Li
Songxi Chen
71
224
0
05 Jun 2012
Estimation of the Number of Spikes, Possibly Equal, in the
  High-Dimensional Case
Estimation of the Number of Spikes, Possibly Equal, in the High-Dimensional Case
Damien Passemier
Jianfeng Yao
47
38
0
06 Oct 2011
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