Nature

Random Fields and Gaussian Processes

Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
Scientific Research Publishing

Gaussian Random Process and Its Application for Detecting the Ionospheric Disturbances Using GPS ()

School of Surveying and Spatial Information Systems, University of New South Wales, Sydney, Australia. Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80# Nandan R.d, Shanghai, China.
IEEE

Using the Cumulative Function Method to Transform non-Gaussian Random Processes, Signals and Noise in the Differentiating Systems

Abstract: It is shown that one of commonly used approximate methods is the description of non-Gaussian processes, signals and noise as a finite sequence of elements or cumulant functions. In this case ...
GitHub

Thiagodcv/gaussian-process-mpc

This repository is a WIP implementation of an MPC controller which computes an optimal trajectory using a dynamics model estimated using Gaussian Process Regression (GPR). This MPC is capable of ...
GitHub

Multi-output-Gaussian-Process

In multi-output regression (multi-target, multi-variate, or multi-response regression), we aim to predict multiple real valued output variables. One simple approach may be using combination of single ...