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High dimensional stochastic regression with latent factors, endogeneity
  and nonlinearity

High dimensional stochastic regression with latent factors, endogeneity and nonlinearity

8 October 2013
Jinyuan Chang
Bin Guo
Q. Yao
ArXivPDFHTML

Papers citing "High dimensional stochastic regression with latent factors, endogeneity and nonlinearity"

6 / 6 papers shown
Title
Factor-Augmented Regularized Model for Hazard Regression
Factor-Augmented Regularized Model for Hazard Regression
Pierre Bayle
Jianqing Fan
36
4
0
03 Oct 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
55
29
0
31 Dec 2021
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Elynn Y. Chen
Jianqing Fan
47
65
0
07 Jan 2020
On testing for high-dimensional white noise
On testing for high-dimensional white noise
Zeng Li
Clifford Lam
Jianfeng Yao
Q. Yao
20
40
0
10 Aug 2018
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
64
479
0
04 Jun 2012
Discovering Graphical Granger Causality Using the Truncating Lasso
  Penalty
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie
George Michailidis
CML
87
214
0
03 Jul 2010
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