4.5 Article

Graph estimation with joint additive models

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Interdisciplinary Applications

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

Bernd Fellinghauer et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2013)

Article Statistics & Probability

HIGH-DIMENSIONAL SEMIPARAMETRIC GAUSSIAN COPULA GRAPHICAL MODELS

Han Liu et al.

ANNALS OF STATISTICS (2012)

Article Statistics & Probability

REGULARIZED RANK-BASED ESTIMATION OF HIGH-DIMENSIONAL NONPARANORMAL GRAPHICAL MODELS

Lingzhou Xue et al.

ANNALS OF STATISTICS (2012)

Article Statistics & Probability

COPULA GAUSSIAN GRAPHICAL MODELS AND THEIR APPLICATION TO MODELING FUNCTIONAL DISABILITY DATA

Adrian Dobra et al.

ANNALS OF APPLIED STATISTICS (2011)

Article Statistics & Probability

New Insights and Faster Computations for the Graphical Lasso

Daniela M. Witten et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2011)

Article Statistics & Probability

ASYMPTOTIC INFERENCE FOR HIGH-DIMENSIONAL DATA

Jim Kuelbs et al.

ANNALS OF STATISTICS (2010)

Article Biochemical Research Methods

Discovering graphical Granger causality using the truncating lasso penalty

Ali Shojaie et al.

BIOINFORMATICS (2010)

Article Statistics & Probability

A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression

Y. Ann Chen et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2010)

Article Statistics & Probability

Composite Likelihood Bayesian Information Criteria for Model Selection in High-Dimensional Data

Xin Gao et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2010)

Article Statistics & Probability

Stability selection

Nicolai Meinshausen et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)

Article Computer Science, Information Systems

Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using l1-Constrained Quadratic Programming (Lasso)

Martin J. Wainwright

IEEE TRANSACTIONS ON INFORMATION THEORY (2009)

Article Statistics & Probability

Partial Correlation Estimation by Joint Sparse Regression Models

Jie Peng et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)

Article Statistics & Probability

Sparse additive models

Pradeep Ravikumar et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)

Article Biology

Conditionally specified continuous distributions

Yuchung J. Wang et al.

BIOMETRIKA (2008)

Article Biochemical Research Methods

minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

Patrick E. Meyer et al.

BMC BIOINFORMATICS (2008)

Article Statistics & Probability

Sparse permutation invariant covariance estimation

Adam J. Rothman et al.

ELECTRONIC JOURNAL OF STATISTICS (2008)

Article Mathematical & Computational Biology

Sparse inverse covariance estimation with the graphical lasso

Jerome Friedman et al.

BIOSTATISTICS (2008)

Article Statistics & Probability

On the degrees of freedom of the lasso

Hui Zou et al.

ANNALS OF STATISTICS (2007)

Article Statistics & Probability

High-dimensional graphs and variable selection with the Lasso

Nicolai Meinshausen et al.

ANNALS OF STATISTICS (2006)

Article Statistics & Probability

Model selection and estimation in regression with grouped variables

M Yuan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Multidisciplinary Sciences

Causal protein-signaling networks derived from multiparameter single-cell data

K Sachs et al.

SCIENCE (2005)

Article Genetics & Heredity

Reverse engineering of regulatory networks in human B cells

K Basso et al.

NATURE GENETICS (2005)

Article Operations Research & Management Science

Convergence of a block coordinate descent method for nondifferentiable minimization

P Tseng

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (2001)