Sparse graphical modeling for high dimensional data: a paradigm of conditional independence tests
Auteur :
Liang, Faming / Jia, Bochao
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367183738
Date de publication :
2 août 2023
Dimensions :
23,4 x 15,6 cm
Poids :
780 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.