Irene Votsi, Le Mans University, France
Nikolaos Limnios, University of Technology of Compiègne, France
Eleftheria Papadimitriou, Aristotle University of Thessaloniki, Greece
George Tsaklidis, Aristotle University of Thessaloniki, Greece
Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications.
The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi-)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7.
This book is mainly intended for statisticians, mathematicians working in applied probability, and theoretically-oriented geophysicists and engineers interested in semi-Markov process theories, but it could be equally supportive to Master’s and PhD students and professional researchers interested in stochastic modeling for probing the nature of earthquake phenomena.
1. Fundamentals on Stress Changes.
2. Hidden Markov Models.
3. Hidden Markov Renewal Models.
4. Hitting Time Intensity.
5. Models Comparison.
Irene Votsi is Assistant Professor of Statistics at the Manceau Laboratory of Mathematics, Le Mans University, France.
Nikolaos Limnios is Professor of Applied Mathematics at the University of Technology of Compiègne, Sorbonne University, France.
Eleftheria Papadimitriou is Professor of Seismology at the Aristotle University of Thessaloniki, Greece.
George Tsaklidis is Professor of Probability and Statistics at the Aristotle University of Thessaloniki, Greece.
Table of Contents
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