In this context, our aim here is to show that a suitable modification of Maxwell’s original kinetic contribution (i.e. an extension of his first “postulate”), naturally leads to power-law velocity ...

JuliaGPs is an organisation interested in making Gaussian process models work well in the Julia programming language. The packages in this ecosystem are targeted at people who want to use Gaussian ...

Abstract: In this letter, using the Trapezoidal rule of numerical integration, we propose simpler and tighter approximations for the Gaussian Q function. These can be ...

Demonstrate two use cases (sampling and projections) of the property of multivariate Gaussian densities and provide students hands on experience in Python modules, Numpy and Matplotlib. Implementation ...

a strategy in which Bayesian fusion is applied to update a Gaussian Process prior map. A key aspect of our approach is an integral kernel encoding spatial correlation over the areas of grid cells.

Integrals over U(n) are rewritten as gaussian integrals over triangular matrices and then computed explicitly. That formula is an efficient alternative to the former Shatashvili's formula.

All year-end and CSV data is "as traded on the day" and ignores corporate actions (e.g. share splits) ...