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    Chapter and Conference Paper

    On Classical Measurement Error within a Bayesian Nonparametric Framework

    This paper studies the impact of classical measurement error on a Dependent Dirichlet Process (DDP). Specifically, we study a Simulation-Extrapolation (SIMEX) algorithm, adapted to a nonparametric Bayesian fra...

    Emmanuel Bernieri, Miguel de Carvalho in Recent Developments in Statistics and Data Science (2022)

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    Chapter

    Bayesian Nonparametric Approaches for ROC Curve Inference

    The development of medical diagnostic tests is of great importance in clinical practice, public health, and medical research. The receiver operating characteristic (ROC) curve is a popular tool for evaluating ...

    Vanda Inácio de Carvalho, Alejandro Jara… in Nonparametric Bayesian Inference in Biosta… (2015)

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    Chapter

    Bayesian Nonparametric Biostatistics

    We discuss some typical applications of Bayesian nonparametrics in biostatistics. The chosen applications highlight how Bayesian nonparametrics can contribute to addressing some fundamental questions that aris...

    Wesley O. Johnson, Miguel de Carvalho in Nonparametric Bayesian Inference in Biostatistics (2015)