Statistical Mechanics and Entropy

SiGMoiD: A super-statistical generative model for binary data

SiGMoiD is a generative model for binary data that infers constraints from data and handles large variable counts, enabling clustering and reduced dimensionality.

Estimation of mutual information for real-valued data with error bars and controlled bias

The paper improves a mutual information estimator by expanding its applicability and adding methods for bias verification, variance estimation, and parameter selection, tested on synthetic and biological data.