Bayesian Nonparametrics for Causal Inference and Missing Data

BHD54.000
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Bayesian Nonparametrics for Causal Inference and Missing Data

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Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data

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Description

Bayesian Nonparametrics for Causal Inference and Missing Data

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.
  • Brand: Taylor & Francis Ltd
  • Category: Education
  • Format: Hardback
  • Language: English
  • Publication Date: 2023-08-24
  • Publisher / Label: Taylor & Francis Ltd
  • Author: Michael J. Daniels
  • Number of Pages: 248
  • Fruugo ID: 343439514-752535515
  • ISBN: 9780367341008

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  • STANDARD: BHD9.490 - Delivery between Wed 21 January 2026–Tue 10 February 2026

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