Oracle inequalities for high dimensional vector autoregressions
<p style="text-align:justify;"> This paper establishes non-asymptotic oracle inequalities for the prediction error and estimation accuracy of the LASSO in stationary vector autoregressive models. These inequalities are used to establish consistency of the LASSO even when the number...
Main Authors: | Kock, A, Callot, L |
---|---|
פורמט: | Journal article |
יצא לאור: |
Elsevier
2015
|
פריטים דומים
-
Oracle inequalities, variable selection and uniform inference in high-dimensional correlated random effects panel data models
מאת: Kock, A
יצא לאור: (2016) -
Oracle inequalities for convex loss functions with nonlinear targets
מאת: Caner, M, et al.
יצא לאור: (2015) -
Oracle inequalities for weighted group lasso in high-dimensional misspecified Cox models
מאת: Yijun Xiao, et al.
יצא לאור: (2020-11-01) -
Sharp threshold detection based on sup-norm error rates in high-dimensional models
מאת: Callot, L, et al.
יצא לאור: (2017) -
Stable Recovery of Sparse Signals and an Oracle Inequality
מאת: Cai, T. Tony, et al.
יצא לאור: (2011)