Bayesian nonparametrics for causal inference and missing data

Bayesian nonparametrics for causal inference and missing data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the impor...

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Detaylı Bibliyografya
Asıl Yazarlar: Daniels, M. J. (Michael Joseph) (Yazar), Linero, Antonio (Yazar), Roy, Jason (Jason Allen) (Yazar)
Materyal Türü: Kitap
Dil:English
Baskı/Yayın Bilgisi: Boca Raton, FL CRC Press, an imprint of Taylor & Francis Group, LLC 2024.
Seri Bilgileri:Chapman & Hall/CRC monographs on statistics & applied probability 173
Konular:
Bayesian statistical decision theory.
Missing observations (Statistics)