This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
This study proposes a diverse family of additive models that extend Generalized Additive Models (GAMs) to achieve both interpretability and predictive performance in forecasting. While preserving the ...
Abstract: A generalized probability density function (pdf) is introduced to enhance sea surface slope modeling for remote sensing applications. This new pdf, which incorporates the anisotropy index to ...
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