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Oracle Inequalities for High Dimensional Vector Autoregressions

Oracle Inequalities for High Dimensional Vector Autoregressions

4 November 2013
Anders Bredahl Kock
Laurent Callot
ArXivPDFHTML

Papers citing "Oracle Inequalities for High Dimensional Vector Autoregressions"

9 / 9 papers shown
Title
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
159
5
0
18 Apr 2022
Large Vector Auto Regressions
Large Vector Auto Regressions
Song Song
Peter J. Bickel
AI4TS
122
183
0
20 Jun 2011
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic
  Programming
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
A. Belloni
Victor Chernozhukov
Lie Wang
114
672
0
28 Sep 2010
Exponential Screening and optimal rates of sparse estimation
Exponential Screening and optimal rates of sparse estimation
Philippe Rigollet
Alexandre B. Tsybakov
141
242
0
12 Mar 2010
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
215
729
0
05 Oct 2009
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical
  Modeling
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling
Shuheng Zhou
Sara van de Geer
Peter Buhlmann
103
81
0
13 Mar 2009
Autoregressive Process Modeling via the Lasso Procedure
Autoregressive Process Modeling via the Lasso Procedure
Yuval Nardi
Alessandro Rinaldo
101
157
0
08 May 2008
Asymptotic properties of bridge estimators in sparse high-dimensional
  regression models
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Jian Huang
J. Horowitz
Shuangge Ma
200
517
0
04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
327
2,527
0
07 Jan 2008
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