Bayesian Nonparametrics for Causal Inference and Missing Data
Roy Jason
9780367341008
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| Author(s) :- Roy Jason | Format :- Hardback |
| Publisher :- Taylor & Francis Ltd | Pub. Date :- 2023-08-23 |
| ISBN-13 :- 9780367341008 | |
| Series:- Chapman & Hall/CRC Monographs on Statistics and Applied Probability | |
| Pagination :- 248 pages, 8 Tables, black and white; 42 Line drawings, black and white; 42 Illustrations, black and | |
| Dimensions :- 159 x 242 x 22 | |
| Weight :- 534 |
Description
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.
