In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system.

I've read through the documentation and notebooks for Continuous Factors several times, but there is still a big gap between what is written there and what I need to know to create an actual Bayesian ...

EDINBURGH, Scotland--(BUSINESS WIRE)--Today, Metanomic (https://www.metanomic.net/) announces it has acquired Intoolab A.I (https://www.intoolab.com/) , a Bayesian ...