In this article, I dig a bit under the surface of the theory around good’ol linear regression and explain how it can be extended to generalized linear models and why GLMs may be useful on some exam...

In this article I introduce the notion of inhomogeneous Poisson process and show a case study how it can be applied. This generalizes and expands the ideas developed in the articles about counting ...

In this article, I focus on the question, how many events occur within a time frame, given a probabilistic model of the waiting times of successive events. On the lowest level of temporal data, th...

In this article, I discuss some answers to the question: How do we model probabilistically the waiting time to the next event? A textbook example where we want to model this is the time until a de...