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[1] J. Bai,et al. Large Dimensional Factor Analysis , 2008 .
[2] Richard A. Davis,et al. Time Series: Theory and Methods (2nd ed.). , 1992 .
[3] Richard A. Davis,et al. Sparse Vector Autoregressive Modeling , 2012, 1207.0520.
[4] G. Michailidis,et al. Regularized estimation in sparse high-dimensional time series models , 2013, 1311.4175.
[5] Ruey S. Tsay,et al. Multivariate Time Series Analysis: With R and Financial Applications , 2013 .
[6] Helmut Ltkepohl,et al. New Introduction to Multiple Time Series Analysis , 2007 .
[7] Mark W. Watson,et al. Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics , 2016 .
[8] Michael P. Clements,et al. Dynamic Factor Models , 2011, Financial Econometrics.
[9] E. Paparoditis,et al. Bootstrap based inference for sparse high-dimensional time series models , 2018, Bernoulli.
[10] Fang Han,et al. A direct estimation of high dimensional stationary vector autoregressions , 2013, J. Mach. Learn. Res..
[11] Harrison H. Zhou,et al. Estimating Sparse Precision Matrix: Optimal Rates of Convergence and Adaptive Estimation , 2012, 1212.2882.
[12] Adam J. Rothman,et al. Generalized Thresholding of Large Covariance Matrices , 2009 .
[13] L. Kilian,et al. Structural Vector Autoregressive Analysis , 2017 .
[14] Weidong Liu,et al. Adaptive Thresholding for Sparse Covariance Matrix Estimation , 2011, 1102.2237.
[15] Y. Wu,et al. Performance bounds for parameter estimates of high-dimensional linear models with correlated errors , 2016 .
[16] G. Reinsel. Elements of Multivariate Time Series Analysis , 1995 .
[17] R. Mazumder,et al. Computing Estimators of Dantzig Selector type via Column and Constraint Generation , 2019, 1908.06515.
[18] T. Cai,et al. A Constrained ℓ1 Minimization Approach to Sparse Precision Matrix Estimation , 2011, 1102.2233.
[19] P. Bickel,et al. Covariance regularization by thresholding , 2009, 0901.3079.
[20] Trevor Hastie,et al. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. , 2011, Journal of statistical software.
[21] Ricardo P. Masini,et al. Regularized estimation of high‐dimensional vector autoregressions with weakly dependent innovations , 2019, Journal of Time Series Analysis.
[22] Okyoung Na,et al. Tuning parameter selection for the adaptive LASSO in the autoregressive model , 2017 .
[23] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[24] A. Kock,et al. Oracle Inequalities for High Dimensional Vector Autoregressions , 2012, 1311.0811.