Recent Advances in Statistical Theory and Applications.

The Special Issue of Entropy titled "Recent Advances in Statistical Theory and Applications" explores various challenges and methodologies related to the analysis of complex data. The issue covers topics such as clustering, change point inference, multiple sample tests, generalized linear models, machine learning, stochastic processes, and time series data. The articles propose innovative approaches to address these challenges and provide valuable insights for researchers in these fields. The collection aims to offer beneficial information and ideas to readers conducting their own research. [Extracted from the article]