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  • Bayesian Nonparametrics for Causal Inference and Missing Data

    by Michael J. Daniels, Antonio Linero, Jason Roy ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    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 importance of making untestable assumptions to identify estimands of interest, such as missing at random ... Read more

    $107.17 CAD