Related references
Note: Only part of the references are listed.A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
Bing Li et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)
A FOCUSED INFORMATION CRITERION FOR GRAPHICAL MODELS IN FMRI CONNECTIVITY WITH HIGH-DIMENSIONAL DATA
Eugen Pircalabelu et al.
ANNALS OF APPLIED STATISTICS (2015)
Fast and adaptive sparse precision matrix estimation in high dimensions
Weidong Liu et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2015)
CALIBRATING NONCONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION
Lan Wang et al.
ANNALS OF STATISTICS (2013)
Positive definite estimators of large covariance matrices
Adam J. Rothman
BIOMETRIKA (2012)
Brain Graphs: Graphical Models of the Human Brain Connectome
Edward T. Bullmore et al.
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY (2011)
A Constrained l1 Minimization Approach to Sparse Precision Matrix Estimation
Tony Cai et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2011)
A Spectral Graphical Model Approach for Learning Brain Connectivity Network of Children's Narrative Comprehension
Xiaodong Lin et al.
BRAIN CONNECTIVITY (2011)
NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES
Jianqing Fan et al.
ANNALS OF APPLIED STATISTICS (2009)
One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou et al.
ANNALS OF STATISTICS (2008)
COVARIANCE REGULARIZATION BY THRESHOLDING
Peter J. Bickel et al.
ANNALS OF STATISTICS (2008)
Smoothly Clipped Absolute Deviation on High Dimensions
Yongdai Kim et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
Sparse inverse covariance estimation with the graphical lasso
Jerome Friedman et al.
BIOSTATISTICS (2008)
Model selection and estimation in the Gaussian graphical model
Ming Yuan et al.
BIOMETRIKA (2007)
The adaptive lasso and its oracle properties
Hui Zou
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
Variable selection via nonconcave penalized likelihood and its oracle properties
JQ Fan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)
Share Paper
