School of Mathematics and Statistics, Southwest University, Chongqing, China. Shifting focus to the skew-t-normal distribution, Yang and Hu (2025) focused on the skew-t-normal distribution, discussing ...

The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

This crate implements high-level functions to generate plots and drawings. Although we use Python/Matplotlib, the goal is to provide a convenient Rust library that is different than Matplotlib. The ...

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A monthly food distribution at Normal West high school often included staples such as potatoes and apples. A food pantry that serves hundreds of Bloomington-Normal residents each month is ending. One ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

The Splunk distribution of OpenTelemetry Python provides multiple installable packages that automatically instrument your Python application to capture and report distributed traces to Splunk APM.