Estimation of nonparanormal graphical models based on ranked set sampling (RSS)

Cites Work

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Extending the rank likelihood for semiparametric copula estimation
Sparse inverse covariance estimation with the graphical lasso
Regularized rank-based estimation of high-dimensional nonparanormal graphical models
Sparsistency and rates of convergence in large covariance matrix estimation
Ranked set sampling. Theory and applications
High-dimensional semiparametric Gaussian copula graphical models
Sparse permutation invariant covariance estimation
High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
Estimation of undirected graph with finite mixture of nonparanormal distribution
On unbiased estimates of the population mean based on the sample stratified by means of ordering
A robust estimate of the correlation coefficient for bivariate normal distribution using ranked set sampling
Ordinal Measures of Association
Model selection and estimation in the Gaussian graphical model
Ranked Set Sampling Theory with Order Statistics Background
Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions
An Analysis of Transformations Revisited
Inferences on the Correlation Coefficient in Bivariate Normal Populations From Ranked Set Samples
Theory & Methods: Estimation of bivariate characteristics using ranked set sampling
Introduction to Graphical Modelling
Sparse Additive Models
Estimation of the Correlation Coefficient Using Bivariate Ranked Set Sampling with Application to the Bivariate Normal Distribution
Estimating finite mixture of continuous trees using penalized mutual information
Another look at regression analysis using ranked set samples with application to an osteoporosis study

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