Bayesian Nonparametrics for Causal Inference and Missing Data, Hardback/Jason Roy

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. Publisher: Taylor & Francis Ltd Author(s): Jason Roy Illustration(s): 8 Tables, black and white; 42 Line drawings, black and white; 42 Illustrations, black and white Number of pages: 248 Collection: Chapman & Hall/CRC Monographs on Statistics and Applied Probability Publication date: 2023 Dimensions: 159 x 242 x 22 Cover type: Hardback