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Earthquake Occurrence and Mechanisms, Stochastic Models for

  • Reference work entry
Extreme Environmental Events

Article Outline

Glossary

Definition of the Subject

Introduction

Historical Overview

Stochastic Models for Earthquake Mechanisms

Models for Paleoseismological and Historical Earthquakes

Point Process Models for Regional Catalogues

Stochastic Models with Precursors

Further Topics

Future Directions

Acknowledgments

Bibliography

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Abbreviations

Stochastic:

occurring by chance;

Stochastic process:

physical or other process evolving in time governed in part by chance.

Earthquake mechanism:

physical processes causing the occurrence of an earthquake.

Independent events:

events not affecting each other's probability of occurrence.

Branching process:

process of ancestors and offspring, as in the model of nuclear fission.

Point process:

stochastic process of point‐events in time or space.

Probability forecast:

prediction of the probability distribution of the time and other features of some future event, as distinct from a forecast for the time (etc.) of the event itself.

Model test:

a statistical test for the extent to which a stochastic model is supported by the relevant data.

Precursory signal:

observed quantity which affects the occurrence probability of a future event (earthquake).

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Acknowledgments

I am very grateful to friends and colleagues, especially David Harte, Mark Bebbington, David Rhoades and Yehuda Ben-Zion, for helpful discussions, correcting errors and plugging gaps.

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  1. Statistical Research Associates and Victoria University, Wellington, New Zealand

    David Vere-Jones

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  1. RAMTECH LIMITED, 122 Escalle Lane, Larkspur, CA, 94939, USA

    Robert A. Meyers Ph. D. (Editor-in-Chief) (Editor-in-Chief)

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Vere-Jones, D. (2011). Earthquake Occurrence and Mechanisms, Stochastic Models for. In: Meyers, R. (eds) Extreme Environmental Events. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7695-6_21

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