Parametric inference

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Catia Scricciolo
Associate Professor
Research interests
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MSC 62F15 - Bayesian inference Catia Scricciolo
Bayesian theory of function estimation in nonparametric statistical models, including the study of credible sets to provide a data-driven quantification of the uncertainty for point estimators. Analysis also covers inverse problems, such as deconvolution, wherein the object of interest has to be recovered from indirect noisy observations.
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