This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary s

The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, G

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in Augu

This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven