Journal of Applied Probability, Vol. 58, No. 3 (SEPTEMBER 2021), pp. 693-707 (15 pages) We study, under mild conditions, the weak approximation constructed from a standard Poisson process for a class ...
Gaussian process regression is a sophisticated technique that uses what is called the kernel trick to deal with complex non-linear data, and L2 regularization to avoid model overfitting where a model ...