This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

It is a pleasure to introduce the latest issue of The Journal of Computational Finance. The first two contributions focus on using novel neural network machinery to enhance classical financial ...

As artificial intelligence (AI) takes on increasingly critical roles—from managing power grids to piloting autonomous ...

In Huntington’s small community, tucked in a corner classroom of Smith Hall sits a unique piece of math history. Marshall ...