Probabilistic Data-Driven Modeling

‘I really enjoyed reading this book. It offers an expansive tour to the realm of probabilistic data-driven systems modeling, as well as an easily accessible reference for those, such as students, researchers and practitioners, aiming to understand the nature and behaviors of complex systems, as often encountered in the real world.’ Jiming Liu, Hong Kong Baptist University‘This is a much-needed book that comprehensively reviews data analysis concepts and methods for complex systems.It starts with probability and statistics and clearly and succinctly connects it to information theory and network analysis. I look forward to having it on my shelf, and I will recommend it to all my students!’ J. Doyne Farmer, University of Oxford

Tomaso Aste is Professor of Complexity Science at the Computer Science Department at University College London. A trained physicist, he has substantially contributed to research in complex systems modeling, from materials to markets. He has authored over 300 research papers and several books and collaborated with over 100 researchers across all continents. Professor Aste is founder and Head of the Financial Computing and Analytics Group at UCL, he is founder and editor-in-chief of the journal Data-Driven Modelling.