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Bayesian Nonparametrics for Causal Inference and Missing Data

Om 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.

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  • Språk:
  • Engelska
  • ISBN:
  • 9780367341008
  • Format:
  • Inbunden
  • Sidor:
  • 248
  • Utgiven:
  • 23. augusti 2023
  • Mått:
  • 242x159x22 mm.
  • Vikt:
  • 534 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 10. april 2025

Beskrivning av 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.

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