The paper proves the first optimal O(n^{-1/2}) Wasserstein-1 CLT rates for locally dependent sequences and geometrically ergodic Markov chains, plus new W_p rates for p greater than or equal to 2 under mild moments, with an application to U-statistics.
Covariance selection.Biometrics, pages 157–175, 1972
2 Pith papers cite this work. Polarity classification is still indexing.
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q2-classo and q2-gglasso are QIIME 2 plugins that implement sparse log-contrast regression/classification and graphical lasso-based network estimation for microbial compositional data.
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Wasserstein-p Central Limit Theorem Rates: From Local Dependence to Markov Chains
The paper proves the first optimal O(n^{-1/2}) Wasserstein-1 CLT rates for locally dependent sequences and geometrically ergodic Markov chains, plus new W_p rates for p greater than or equal to 2 under mild moments, with an application to U-statistics.
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Sparse regression, classification, and microbial network estimation in QIIME2 with q2-classo and q2-gglasso
q2-classo and q2-gglasso are QIIME 2 plugins that implement sparse log-contrast regression/classification and graphical lasso-based network estimation for microbial compositional data.