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Lasso Guarantees for $ β$-Mixing Heavy Tailed Time Series
v1v2 (latest)

Lasso Guarantees for β ββ-Mixing Heavy Tailed Time Series

3 August 2017
Kam Chung Wong
Zifan Li
Ambuj Tewari
ArXiv (abs)PDFHTML

Papers citing "Lasso Guarantees for $ β$-Mixing Heavy Tailed Time Series"

9 / 9 papers shown
Title
Double Machine Learning for Causal Inference under Shared-State Interference
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays
Manish Raghavan
CML
78
0
0
10 Apr 2025
On LASSO for High Dimensional Predictive Regression
On LASSO for High Dimensional Predictive Regression
Ziwei Mei
Zhentao Shi
42
16
0
14 Dec 2022
Machine Learning Advances for Time Series Forecasting
Machine Learning Advances for Time Series Forecasting
Ricardo P. Masini
M. C. Medeiros
Eduardo F. Mendes
AI4TS
71
300
0
23 Dec 2020
Structural Inference in Sparse High-Dimensional Vector Autoregressions
Structural Inference in Sparse High-Dimensional Vector Autoregressions
J. Krampe
E. Paparoditis
Carsten Trenkler
38
7
0
30 Jul 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
105
35
0
21 Jul 2020
High-Dimensional Granger Causality Tests with an Application to VIX and
  News
High-Dimensional Granger Causality Tests with an Application to VIX and News
Andrii Babii
Eric Ghysels
Jonas Striaukas
46
106
0
13 Dec 2019
Stationarity and Moment Properties of some Multivariate Count
  Autoregressions
Stationarity and Moment Properties of some Multivariate Count Autoregressions
Zinsou Max Debaly
Lionel Truquet
38
7
0
25 Sep 2019
Optimal covariance matrix estimation for high-dimensional noise in
  high-frequency data
Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
Jinyuan Chang
Qiao Hu
Cheng Liu
C. Tang
70
8
0
19 Dec 2018
Large Spectral Density Matrix Estimation by Thresholding
Large Spectral Density Matrix Estimation by Thresholding
Yiming Sun
Yige Li
Amy Kuceyeski
Sumanta Basu
111
19
0
03 Dec 2018
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