The Gaussian Q-function is a fundamental statistical tool that plays a pivotal role in the analytical assessment of error probabilities within communication systems ...

Having seen Bayesian field theoretical models working for Gaussian prior factors we will study in this section the slightly more complex prior mixture models. Prior mixture models are an especially ...

The subject of this work is a study of four properties of an isotropic Gaussian process on an infinite dimensional sphere in Hilbert space. The process is deterministic in the sense that its values on ...

We consider stochastic differential equations of the form dYt = V(Yt)dXt + V0(Yt)dt driven by a multi-dimensional Gaussian process. Under the assumption that the vector fields V0 and V = (V1,..., Vd) ...