This book is a collective work with contributions by leading experts on “Data Analysis and Related Applications: Theory and Practice”.

The field of data analysis has grown enormously over recent decades due to the rapid growth of the computer industry, the continuous development of innovative algorithmic techniques and recent advances in statistical tools and methods. Due to the wide applicability of data analysis, a collective work is always needed to bring all recent developments in the field, from all areas of science and engineering, under a single umbrella.

The contributions to this collective work are by a number of leading scientists, analysts, engineers, demographers, health experts, mathematicians and statisticians who have been working on the front end of data analysis. The chapters included in this collective volume represent a cross-section of current concerns and research interests in the scientific areas mentioned. The material is divided into four parts and 29 chapters in a form that will provide the reader with both methodological and practical information on data analytic methods, models and techniques, together with a wide range of appropriate applications.

Part 1 focuses mainly on computational data analysis and related fields, with nine chapters covering machine learning algorithms, web applications, spatial analysis, multivariate regression, factor analysis, mixture models, non-parametric techniques and tail distributions.

Part 2 focuses mainly on stochastic and algorithmic data analysis and related fields, with nine chapters covering volatility, calibration, segmentation, Markov chains, genetic algorithms, classification algorithms, batch processing, entropies and pseudodistances.

Part 3 focuses mainly on applied statistical data analysis and related fields, with five chapters covering spatial statistics, Monte Carlo methods, machine learning methods, time series analysis and gas analysis.

Part 4 focuses mainly on economic and numerical data analysis and related fields, with six chapters covering economic downturn, cyber systems, morbidity, fixed-income market, Bayesian inference and reliability analysis.

Konstantinos N. ZAFEIRIS

Yiannis DIMOTIKALIS

Christos H. SKIADAS

Alex KARAGRIGORIOU

Christiana KARAGRIGORIOU-VONTA

April 2022