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...
| Main Authors: | , , |
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| Formato: | Libro |
| Idioma: | English |
| Publicado: |
Boca Raton, FL
CRC Press, an imprint of Taylor & Francis Group, LLC
2024.
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| Series: | Chapman & Hall/CRC monographs on statistics & applied probability
173 |
| Subjects: |