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

Smeal College of Business, Pennsylvania State University, and University of Southern California report that exclamation point ...

Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...

In a recently published, PNAS study, professor Andreas Neider and his team found that crows and rhesus macaques take mental ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...

ABSTRACT: Binary outcomes are frequently encountered in a variety of fields and contexts and the Bayesian approach is widely used to analyze this type of data. Under this framework, a beta prior ...

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 ...