Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Liang, Faming (Purdue University, West Lafayette, IN) - Books - Taylor & Francis Ltd - 9780367183738 - August 2, 2023
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Liang, Faming (Purdue University, West Lafayette, IN)
Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests - Chapman & Hall / CRC Monographs on Statistics and Applied Probability

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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.

149 pages, 12 Tables, black and white; 8 Line drawings, color; 7 Line drawings, black and white; 8 I

Media Books     Hardcover Book   (Book with hard spine and cover)
Released August 2, 2023
ISBN13 9780367183738
Publishers Taylor & Francis Ltd
Pages 130
Dimensions 242 × 162 × 14 mm   ·   348 g
Language English  

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