ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.10952
  4. Cited By
Lasso Inference for High-Dimensional Time Series

Lasso Inference for High-Dimensional Time Series

21 July 2020
R. Adámek
Stephan Smeekes
Ines Wilms
    AI4TS
ArXivPDFHTML

Papers citing "Lasso Inference for High-Dimensional Time Series"

11 / 11 papers shown
Title
Econometrics of Machine Learning Methods in Economic Forecasting
Econometrics of Machine Learning Methods in Economic Forecasting
Andrii Babii
Eric Ghysels
Jonas Striaukas
22
1
0
21 Aug 2023
Expected Shortfall LASSO
Expected Shortfall LASSO
Sander Barendse
14
0
0
03 Jul 2023
Sparse High-Dimensional Vector Autoregressive Bootstrap
Sparse High-Dimensional Vector Autoregressive Bootstrap
R. Adámek
Stephan Smeekes
Ines Wilms
26
1
0
02 Feb 2023
Local Projection Inference in High Dimensions
Local Projection Inference in High Dimensions
R. Adámek
Stephan Smeekes
Ines Wilms
20
3
0
07 Sep 2022
High Dimensional Generalised Penalised Least Squares
High Dimensional Generalised Penalised Least Squares
Ilias Chronopoulos
Katerina Chrysikou
G. Kapetanios
8
2
0
14 Jul 2022
High-Dimensional Knockoffs Inference for Time Series Data
High-Dimensional Knockoffs Inference for Time Series Data
Chien-Ming Chi
Yingying Fan
C. Ing
Jinchi Lv
AI4TS
27
6
0
18 Dec 2021
Neural graphical modelling in continuous-time: consistency guarantees
  and algorithms
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Alexis Bellot
K. Branson
M. Schaar
CML
AI4TS
17
43
0
06 May 2021
Machine Learning Advances for Time Series Forecasting
Machine Learning Advances for Time Series Forecasting
Ricardo P. Masini
M. C. Medeiros
Eduardo F. Mendes
AI4TS
13
270
0
23 Dec 2020
Online Debiasing for Adaptively Collected High-dimensional Data with
  Applications to Time Series Analysis
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
28
31
0
04 Nov 2019
Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
55
221
0
21 Jan 2013
Autoregressive Process Modeling via the Lasso Procedure
Autoregressive Process Modeling via the Lasso Procedure
Yuval Nardi
Alessandro Rinaldo
60
157
0
08 May 2008
1