Bayesian Nonparametrics for Causal Inference and Missing Data

Name: Bayesian Nonparametrics for Causal Inference and Missing Data
Brand: Taylor & Francis Ltd
SKU: 2086170
Author: Jason Roy

Jason Roy, USA) Gainesville Michael J. (University of Florida Daniels, Antonio Linero

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Krátký popis

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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Výběr knih autorů Jason Roy , USA) Gainesville Michael J. (University of Florida Daniels , Antonio Linero