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A Direct Estimation of High Dimensional Stationary Vector
  Autoregressions
v1v2v3 (latest)

A Direct Estimation of High Dimensional Stationary Vector Autoregressions

1 July 2013
Fang Han
Huanran Lu
Han Liu
ArXiv (abs)PDFHTML

Papers citing "A Direct Estimation of High Dimensional Stationary Vector Autoregressions"

16 / 16 papers shown
Title
fnets: An R Package for Network Estimation and Forecasting via
  Factor-Adjusted VAR Modelling
fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling
Dominic Owens
Haeran Cho
M. Barigozzi
76
1
0
27 Jan 2023
Benign Overfitting in Time Series Linear Models with Over-Parameterization
Benign Overfitting in Time Series Linear Models with Over-Parameterization
Shogo H. Nakakita
Masaaki Imaizumi
AI4TS
287
5
0
18 Apr 2022
A Bernstein-type Inequality for High Dimensional Linear Processes with
  Applications to Robust Estimation of Time Series Regressions
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions
Linbo Liu
Danna Zhang
AI4TS
84
1
0
21 Sep 2021
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
High-Dimensional Low-Rank Tensor Autoregressive Time Series Modeling
Di Wang
Yao Zheng
Guodong Li
AI4TS
61
36
0
12 Jan 2021
Bayesian Temporal Factorization for Multidimensional Time Series
  Prediction
Bayesian Temporal Factorization for Multidimensional Time Series Prediction
Xinyu Chen
Lijun Sun
AI4TS
71
216
0
14 Oct 2019
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Daren Wang
Yi Yu
Alessandro Rinaldo
Rebecca Willett
83
22
0
12 Sep 2019
Testing for high-dimensional network parameters in auto-regressive
  models
Testing for high-dimensional network parameters in auto-regressive models
Lili Zheng
Garvesh Raskutti
76
18
0
10 Dec 2018
Finite Time Analysis of Vector Autoregressive Models under Linear
  Restrictions
Finite Time Analysis of Vector Autoregressive Models under Linear Restrictions
Yao Zheng
Guang Cheng
57
13
0
26 Nov 2018
On testing for high-dimensional white noise
On testing for high-dimensional white noise
Zeng Li
Clifford Lam
Jianfeng Yao
Q. Yao
65
40
0
10 Aug 2018
Foundations of Sequence-to-Sequence Modeling for Time Series
Foundations of Sequence-to-Sequence Modeling for Time Series
Vitaly Kuznetsov
Zelda E. Mariet
AI4TSBDL
66
56
0
09 May 2018
Lasso Guarantees for $ β$-Mixing Heavy Tailed Time Series
Lasso Guarantees for β ββ-Mixing Heavy Tailed Time Series
Kam Chung Wong
Zifan Li
Ambuj Tewari
78
25
0
03 Aug 2017
Sparse transition matrix estimation for high-dimensional and locally
  stationary vector autoregressive models
Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models
Xin Ding
Ziyi Qiu
Xiaohui Chen
101
14
0
14 Apr 2016
Estimating Structured Vector Autoregressive Model
Estimating Structured Vector Autoregressive Model
Igor Melnyk
A. Banerjee
72
53
0
21 Feb 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
100
77
0
30 Oct 2015
Regularized estimation of linear functionals of precision matrices for
  high-dimensional time series
Regularized estimation of linear functionals of precision matrices for high-dimensional time series
Xiaohui Chen
Mengyu Xu
Wei Biao Wu
99
25
0
11 Jun 2015
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in
  Polynomial Time
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang
Huanran Lu
Han Liu
134
36
0
22 Aug 2014
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