IntroductionOrdinary linear differential equations can be solved as trajectories given some initial conditions. But what if your initial conditions are given as distributions of probability?
IntroductionBayesian Regression has traditionally been very difficult to work with since analytical solutions are only possible for simple problems. Hence, the frequentist method called “least-squares
This first blog post will be a brief survey about the use of virtual verification within the development of mechatronic systems. There will also be
IntroductionIn a classical design of experiments (DoE) you usually choose a set of points according to some rule and perform experiments to be able to,
IntroductionWhen trying to describe data using a function you often know something about the process generating the data a priori. When you do not completely
The maximum spacing estimation (MSE or MSP) is one of those not-so-known statistic tools that are good to have in your toolbox if you ever bump