Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-16T17:05:01.040Z Has data issue: false hasContentIssue false

Explicit formulae for stationary distributions of stress release processes

Published online by Cambridge University Press:  14 July 2016

K. Borovkov*
Affiliation:
University of Melbourne
D. Vere-Jones*
Affiliation:
Victoria University of Wellington
*
Postal address: Department of Mathematics and Statistics, University of Melbourne, Parkville 3052, Australia. Email address: [email protected]
∗∗Postal address: School of Mathematical and Computer Sciences, Victoria University, PO Box 600, Wellington, New Zealand

Abstract

Stress release processes are special Markov models attempting to describe the behaviour of stress and occurrence of earthquakes in seismic zones. The stress is built up linearly by tectonic forces and released spontaneously when earthquakes occur. Assuming that the risk is an exponential function of the stress, we derive closed form expressions for the stationary distribution of such processes, the moments of the risk, and the autocovariance function of the reciprocal risk process.

Type
Research Papers
Copyright
Copyright © by the Applied Probability Trust 2000 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Borovkov, A. A. (1998). Probability Theory. Gordon and Breach, New York.Google Scholar
Davis, M. H. A. (1984). Piecewise deterministic Markov processes: a general class of non-diffusion stochastic models. J. Roy. Statist. Soc. B 46, 353388.Google Scholar
Erdelyi, A. (1956). Asymptotic Expansions. Dover, New York.Google Scholar
Gutenberg, B., and Richter, C. F. (1954). Seismicity of the Earth and Associated Phenomena, 2nd edn. Princeton University Press, Princeton, NJ.Google Scholar
Kagan, Y. Y. (1997). Seismic-moment frequency relations for shallow earthquakes: regional comparison. J. Geophys. Res. 102, 28352852.Google Scholar
Ogata, Y., and Vere-Jones, D. (1984). Inference for earthquake models: a self-correcting model. Stoch. Proc. Appl. 17, 337347.Google Scholar
Rao, C. R., and Shanbhag, D. N. (1994). Choquet–Deny Type Functional Equations with Applications to Stochastic Models. Wiley, New York.Google Scholar
Vere-Jones, D. (1988). On the variance properties of stress release models. Austral. J. Statist. 30A, 123135.Google Scholar
Vere-Jones, D., and Deng, Y. L. (1988). A point process analysis of historical earthquakes from North China. Engl. transl.: Earthquake Research in China 2, 165181.Google Scholar
Vere-Jones, D., and Ogata, Y. (1984). On the moments of self-correcting process. J. Appl. Prob. 21, 335342.CrossRefGoogle Scholar
Widder, D. V. (1941). The Laplace Transform. Princeton University Press, Princeton, NJ.Google Scholar
Zheng, X. (1991). Ergodic theorems for stress release processes. Stoch. Proc. Appl. 37, 239258.Google Scholar
Zheng, X., and Vere-Jones, D. (1991). Applications of stress release models to historical earthquakes from North China. Pure Appl. Geophys. 135, 559576.Google Scholar
Zheng, X., and Vere-Jones, D. (1994). Further applications of the stress release model to historical earthquake data. Tectonophysics 229, 101121.Google Scholar