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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Daniels, M. J. (Michael Joseph) (مؤلف), Linero, Antonio (مؤلف), Roy, Jason (Jason Allen) (مؤلف)
التنسيق: كتاب
اللغة:English
منشور في: Boca Raton, FL CRC Press, an imprint of Taylor & Francis Group, LLC 2024.
سلاسل:Chapman & Hall/CRC monographs on statistics & applied probability 173
الموضوعات: