Abstract:
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Generalized fiducial inference (GFI) is a relatively new approach for conducting statistical inference and performing uncertainty quantification, although its original form was introduced by Fisher back in the 1930s. In this project, we describe an alternative technique to investigate nonparametric function estimation problems in the GFI framework via reproducing kernel Hilbert space (RKHS).
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