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Generating Random Variates via Kernel Density Estimation and Radial Basis Function Based Neural Networks
(Springer Nature, 2019)
When modeling phenomena that cannot be studied by deterministic analytical approaches, one of the main tasks is to generate random variates. The widely-used techniques, such as the inverse transformation, convolution, and ...