Python-bloggers

Bessel’s correction is the use of instead of in the sample variance formula where is the number of observations in a sample. This method corrects the bias in the estimation of the population variance. Recall that bias is defined as: where re...

An analysis may require the ability to generate correlated random samples. For example, imagine we have monthly returns for three financial indicators over a 20 year period. We are interested in modeling these returns using parametric distributio...

This post is intended to shed light on why the closed form solution to linear regression estimates is avoided in statistical software packages. But we start by first by deriving the solution to the normal equations within the standard multivariat...

Within the GLM framework, model coefficients are estimated using iterative reweighted least squares (IRLS), sometimes referred to as Fisher Scoring. This works well, but becomes inefficient as the size of the dataset increases: IRLS relies on the...

Hyperparameter tuning with GPopt, based on Gaussian processes

Greetings, humanists, social and data scientists! Have you ever tried to load a large file in Python or R? Sometimes, when we have file sizes in the order of gigabytes, you may experience problems of performance with your program taking an unusual...

Subsampling continuous and discrete response variables in nnetsauce version 0.16.3

Imagine you are working on a dashboard, and you want to add this new type of visualization you saw in one of the blogs you follow, or perhaps your users showed you a visualization they liked and asked you to implement something similar. You roll up your sleeves and start ...