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Bayesian Nonparametrics for Causal Inference and Missing Data
Overview
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.
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Details
- ISBN-13: 9780367341008
- ISBN-10: 036734100X
- Publisher: CRC Press
- Publish Date: August 2023
- Dimensions: 9.21 x 6.14 x 0.63 inches
- Shipping Weight: 1.2 pounds
- Page Count: 248
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