Selection and estimation for mixed graphical models

Regularized rank-based estimation of high-dimensional nonparanormal graphical models

(2013) Lingzhou Xue et al.   ANNALS OF STATISTICS

Graph estimation with joint additive models

(2013) A. Voorman et al.   BIOMETRIKA

Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables

(2013) Bernd Fellinghauer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Robust Gaussian Graphical Modeling Vial1Penalization

(2012) Hokeun Sun et al.   BIOMETRICS

Robust graphical modeling of gene networks using classical and alternative t-distributions

(2011) Michael Finegold et al.   Annals of Applied Statistics

Elliptical graphical modelling

(2011) D. Vogel et al.   BIOMETRIKA

High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence

(2011) Pradeep Ravikumar et al.   Electronic Journal of Statistics

High-dimensional Ising model selection using ℓ 1 -regularized logistic regression

(2010) Pradeep Ravikumar et al.   ANNALS OF STATISTICS

Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

(2009) Martin J. Wainwright   IEEE TRANSACTIONS ON INFORMATION THEORY

Partial Correlation Estimation by Joint Sparse Regression Models

(2009) Jie Peng et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

High-dimensional generalized linear models and the lasso

(2008) Sara A. van de Geer   ANNALS OF STATISTICS

Conditionally specified continuous distributions

(2008) Y. J. Wang et al.   BIOMETRIKA

Sparse permutation invariant covariance estimation

(2008) Adam J. Rothman et al.   Electronic Journal of Statistics

Honest variable selection in linear and logistic regression models via ℓ1 and ℓ1+ℓ2 penalization

(2008) Florentina Bunea   Electronic Journal of Statistics