Earthquake statistical analysis through multi-state modeling / Irene Votsi, Nikolaos Limnios, Eleftheria Papadimitriou, Georgios Tsaklidis.

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.

Includes bibliographical references and index.

Fundamentals on stress changes -- Hidden Markov models -- HIdden Markov renewal models -- Hitting time intensity -- Models comparison.

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