Explores why category theory requires collections larger than sets to be interesting, discussing foundational issues and cardinality.
Explores using Dempster-Shafer theory to model probabilistic beliefs about sets based on quantified logical statements, as an alternative to Bayesian methods.
An introductory primer on Set Theory, explaining fundamental concepts like unions, intersections, and differences with practical JavaScript code examples.
A guide to optimizing the speed of calculating pairwise overlaps for many sets, using a biological data analysis example and progressive brute-force improvements.
