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High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
8 October 2013
Jinyuan Chang
Bin Guo
Q. Yao
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Papers citing
"High dimensional stochastic regression with latent factors, endogeneity and nonlinearity"
8 / 8 papers shown
HDTSA: An R package for high-dimensional time series analysis
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On the modelling and prediction of high-dimensional functional time series
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Xinghao Qiao
Qiwei Yao
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286
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02 Jun 2024
Factor-Augmented Regularized Model for Hazard Regression
Pierre Bayle
Jianqing Fan
206
5
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03 Oct 2022
Modelling matrix time series via a tensor CP-decomposition
Jinyuan Chang
Jingjing He
Lin Yang
Q. Yao
AI4TS
280
48
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31 Dec 2021
Factor Modelling for Clustering High-dimensional Time Series
Journal of the American Statistical Association (JASA), 2021
Bo Zhang
G. Pan
Q. Yao
Wang Zhou
AI4TS
201
17
0
06 Jan 2021
Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Journal of the American Statistical Association (JASA), 2020
Elynn Y. Chen
Jianqing Fan
492
97
0
07 Jan 2020
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Daren Wang
Yi Yu
Alessandro Rinaldo
Rebecca Willett
375
24
0
12 Sep 2019
On testing for high-dimensional white noise
Zeng Li
Clifford Lam
Jianfeng Yao
Q. Yao
248
47
0
10 Aug 2018
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