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Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs

Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs

Ali Shojaie
George Michailidis
    CML
ArXiv (abs)PDFHTML

Papers citing "Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs"

5 / 5 papers shown
Title
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu
Armeen Taeb
Simge Kuccukyavuz
Ali Shojaie
CML
102
1
0
19 Apr 2024
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
David Heckerman
D. Geiger
D. M. Chickering
TPM
115
3,982
0
27 Feb 2013
Sparse permutation invariant covariance estimation
Sparse permutation invariant covariance estimation
Adam J. Rothman
Peter J. Bickel
Elizaveta Levina
Ji Zhu
582
905
0
31 Jan 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
226
609
0
26 Nov 2007
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
263
2,056
0
10 Aug 2007

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