Bayesian nonparametrics for causal inference and missing data
Auteur :
Daniels, Michael J. / Linero, Antonio / Roy, Jason
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367341008
Date de publication :
23 août 2023
Dimensions :
23,4 x 15,6 cm
Poids :
600 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and/or missingness assumptions, can be used with the g-formula to infer causal effects.