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. Let’s …
A science blog about my spare time data analysis projects.
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. Let’s …
Problem Statement Let thus , we construct a stochastic process as , this kind of random variable are called hypoexponential random variables. We define a counting process such that . …
Introduction A while ago I applied NLP strategies to implement an algorithm that is capable to guess a password. Since then a new method called transformer was developed and successfully …
I recently realized that I have a certain habit when it comes to stock trading even though I used to tell myself that “every trading strategy is useless because the …
Working at my post about the dask cluster, I realized that the code snippets presented in the post will eventually change in my GitHub Repo. I wanted to avoid having …
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 …
In the last two articles we covered the topics “How to teach a computer gamerules” and “The Multiarmed Bandit Problem”. Indeed these two articles where intended to be an introduction …
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 …
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 …