Bayesian Nonparametrics for Causal Inference and Missing Data
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.
Specificaties
ISBN/EAN | 9780367341008 |
Auteur | Daniels, Michael J. (University of Florida, Gainesville, USA) |
Uitgever | Van Ditmar Boekenimport B.V. |
Taal | Engels |
Uitvoering | Gebonden in harde band |
Pagina's | 248 |
Lengte | |
Breedte |