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Sparse Graphical Modeling for High Dimensional Data

Sparse Graphical Modeling for High Dimensional Data

A Paradigm of Conditional Independence Tests

Inhalt

This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; unified treatments for covariate adjustments, data integration, and network comparison.

Bibliografische Angaben

August 2023, 130 Seiten, Chapman & Hall/CRC Monographs on Statistics and Applied Probability, Englisch
Taylor and Francis
978-0-367-18373-8

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Weitere Titel der Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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