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Bayesian Nonparametrics for Causal Inference and Missing Data

by Bayesian Nonparametrics for Causal Inference and Missing Data

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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.

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Product Details

  • Aug 23, 2023 Pub Date:
  • 9780367341008 ISBN-13:
  • 036734100X ISBN-10:
  • English Language