Michael J. Daniels,Antonio Linero,Jason Roy
Bayesian Nonparametrics for Causal Inference and Missing Data
Bayesian Nonparametrics for Causal Inference and Missing Data
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Format: Hardback
Length: 248 pages
Publication date: 23 August 2023
Publisher: Taylor & Francis Ltd
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.
Weight: 538g
Dimension: 159 x 242 x 22 (mm)
ISBN-13: 9780367341008
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