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. 1604.04002
  4. Cited By
Sparse transition matrix estimation for high-dimensional and locally
  stationary vector autoregressive models

Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models

14 April 2016
Xin Ding
Ziyi Qiu
Xiaohui Chen
ArXivPDFHTML

Papers citing "Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models"

2 / 2 papers shown
Title
Discovering Graphical Granger Causality Using the Truncating Lasso
  Penalty
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie
George Michailidis
CML
65
214
0
03 Jul 2010
Time Varying Undirected Graphs
Time Varying Undirected Graphs
Shuheng Zhou
John D. Lafferty
Larry A. Wasserman
106
240
0
20 Feb 2008
1