Rank-based correlation matrix estimation for high dimensional microbiome data

Cites Work

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Optimal rates of convergence for sparse covariance matrix estimation
Inference for high-dimensional differential correlation matrices
Optimal rates of convergence for covariance matrix estimation
Covariance regularization by thresholding
A distribution-free M-estimator of multivariate scatter
On the theory of elliptically contoured distributions
Robust covariance and scatter matrix estimation under Huber's contamination model
Adaptive covariance matrix estimation through block thresholding
Optimal rates of convergence for estimating Toeplitz covariance matrices
Robust covariance estimation under \(L_4\)-\(L_2\) norm equivalence
User-friendly covariance estimation for heavy-tailed distributions
Optimal estimation and rank detection for sparse spiked covariance matrices
Regularized estimation of large covariance matrices
Adaptive Thresholding for Sparse Covariance Matrix Estimation
A cautionary note on robust covariance plug-in methods
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM
An overview of the estimation of large covariance and precision matrices
Large Covariance Estimation for Compositional Data Via Composition-Adjusted Thresholding
Generalized Thresholding of Large Covariance Matrices
Probability Inequalities for Sums of Bounded Random Variables
Robust estimation of high-dimensional covariance and precision matrices
Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation
High-dimensional covariance matrix estimation
Robust covariance estimation for high-dimensional compositional data with application to microbial communities analysis

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