## Offset and Weights in GLM Regression

Introduction In GLMs, we often encounter scenarios where we need to account for exposure or adjust for certain factors. Both offset and weights play crucial roles in achieving this. Letâ€™s …

## Frequency-Severity Modeling in consideration of COVID-19 induced effects

This post is supposed to give a brief introduction in Frequency-Severity models. These models are very popular for determine the optimal price for an insurance. We will take a look …

## Non-Linear Classification Methods in Spark

In a previous post I covered how to apply classical linear estimators like support vector machines or logistic regression to a non-linear dataset using the kernel method. This article can …

## Kubernetes at an OrangePi

1. Install k3s at the OrangePI In a previous article I explained how to get spark running at an OrangePi to create a toy computing-cluster.  If you look at this …

## Solving the Multiarmed Bandit problem with JavaScript

1. Formulation of the Multiarmed Bandit Problem Consider the following problem: A gambler enters a casino with slot machines. The probability to receive a reward for each slot machine follows …

## An introduction to the Registration Problem

To explain the registration problem i will start with an example. In Figure 1 the pinch force dataset is shown, to collect the data a group of 20 subjects were …

## Non-Linear Support Vector Machines (SVM)

1. Introduction This blog post is about Support Vector Machines (SVM), but not only about SVMs. SVMs belong to the class of classification algorithms and are used to separate one …

## Fourier Transform

1. The Fourier Transform The Fourier transform of an integrable function with is given by (1)   Under suitable conditions, the inverse transform from to with is then given by …