Bayesian nonparametrics for causal inference and missing data / Najlacnejšie knihy
Bayesian nonparametrics for causal inference and missing data

Code: 43238493

Bayesian nonparametrics for causal inference and missing data

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

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-fo ... more

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Book synopsis

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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