Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

Tolerating Random Effects in Process Control Models. February 15, 2023. Credit: ... “Linear mixed models, for example, give an estimate of both the random and residual variance.

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

Course TopicsMany response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after ...

Using open models is still a novel idea for most companies, but I’ve had the fortune of interacting with a few leaders who have been experimenting with open models in business for more than a ...