Bayesian Nonparametrics for Causal Inference and Missing Data

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Bayesian Nonparametrics for Causal Inference an...

By Jason Roy, Antonio Linero, Michael J. Daniels

Edition 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.

Edition Details

Format:Hardcover

Language:English

ISBN:036734100X

Format: Hardcover

Condition:

166.99

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Bayesian Nonparametrics for Causal Inference an...

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