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. 1112.2682
  4. Cited By
Simultaneous sparse model selection and coefficient estimation for
  heavy-tailed autoregressive processes

Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes

12 December 2011
Hailin Sang
Yan Sun
ArXivPDFHTML

Papers citing "Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes"

4 / 4 papers shown
Title
Covariance matrix estimation for stationary time series
Covariance matrix estimation for stationary time series
Han Xiao
Wei Biao Wu
74
113
0
23 May 2011
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
226
1,233
0
07 Aug 2008
Autoregressive Process Modeling via the Lasso Procedure
Autoregressive Process Modeling via the Lasso Procedure
Yuval Nardi
Alessandro Rinaldo
101
157
0
08 May 2008
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
103
1,384
0
13 Mar 2008
1