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Bayesian Nonparametrics for Causal Inference and Missing Data

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.

ISBN: 9780367341008

GTIN: 9780367341008

Author	Roy, Jason
Pub Date	23/08/2023
Binding	Hardback
Pages	252

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Bayesian Nonparametrics for Causal Inference and Missing Data

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