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Hoeffding's lemma for Markov Chains and its applications to statistical
  learning

Hoeffding's lemma for Markov Chains and its applications to statistical learning

1 February 2018
Jianqing Fan
Bai Jiang
Qiang Sun
ArXivPDFHTML

Papers citing "Hoeffding's lemma for Markov Chains and its applications to statistical learning"

6 / 6 papers shown
Title
Concentration Inequalities for Statistical Inference
Concentration Inequalities for Statistical Inference
Huiming Zhang
Songxi Chen
159
63
0
24 Feb 2025
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
467
1,378
0
13 Oct 2010
Covariance regularization by thresholding
Covariance regularization by thresholding
Peter J. Bickel
Elizaveta Levina
202
1,272
0
20 Jan 2009
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
273
1,234
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
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
222
609
0
26 Nov 2007
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