Curve Fitting Algorithm of Functional Radiation-Response Data Using Bayesian Hierarchical Gaussian Process Regression Model
نویسندگان
چکیده
We present a nonparametric Bayesian hierarchical (NBH) model and develop variational approximation (VA) algorithm for the curve fitting of functional radiation response data. The NBH is based on (BH) with Gaussian-Inverse Wishart process (G-IWP) prior, which simultaneously smooths multiple observations estimates mean-covariance functions. use automatic differentiation inference (ADVI) Gaussian distribution as approximating posterior parameters interest, applicable to wide class probabilistic models can also be implemented in Stan (a programming system). Using ADVI algorithm, we fit dataset semiconductor obtained from map (RRM) South Korea.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3237395