The present paper is concerned with improving estimates of information rates of non-Gaussian sources under a mean-square error criterion. The sources considered ...

The present paper is concerned with improving estimates of information rates of non-Gaussian sources under a mean-square error criterion. The sources considered ...

We consider the quality of learning a response function by a nonparametric Bayesian approach using a Gaussian process (GP) prior on the response function.

The present paper is concerned with improving estimates of information rates of non-Gaussian sources under a mean-square error criterion. The sources considered ...

Abstract. We consider the quality of learning a response function by a nonparametric Bayesian approach using a Gaussian process (GP) prior on the response ...

Nov 27, 2023 · In this paper we discuss the role of Gaussian or non-Gaussian statistics for discriminating the degree of irreversibility of a system.

For time-dependent reliability methods, there is a lack of analytical solutions to outcrossing rates of nonstationary and non-Gaussian processes.

transformation of a Gaussian process. I Rate parameter must remain positive, use transformation to maintain positiveness λ(fi) = exp(fi) or ...

Standard GPs offer a flexible modelling tool for well-behaved processes. However, deviations from Gaussianity are expected to appear in real world datasets, ...

In this paper, most of main stream methods for non-Gaussian process monitoring are recalled and categorized. The essential problem formulation of process ...