Remarks on the accelerated moment release model: problems of model formulation, simulation and estimation

By David Vere-Jones, R. Robinson, Wenzheng Yang. 2001

129 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Finance, Geophysics

View Paper: https://www.semanticscholar.org/paper/63d113937cf1a31054c57477615d4ced9459f2bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Vladimir Lyakhovsky
2. Y. Ben‐Zion
3. Y. Kagan
4. Agnes Helmstetter
5. Pierre Pinson
6. Didier Sornette

In Finance

1. Vladimir Lyakhovsky
2. Y. Ben‐Zion
3. Y. Kagan

In Geophysics

1. Y. Ben‐Zion
2. Vladimir Lyakhovsky
3. Y. Kagan
4. D. Jackson
5. Agnes Helmstetter
6. Tom Parsons
7. Eric L. Geist
8. Didier Sornette

Citations in the corpus

• Accelerated Seismic Release and Related Aspects of Seismicity Patterns on Earthquake Faults (2001, methodology): “The good fit obtained with all three functions emphasizes the non-uniqueness associated with fitting such data sets and the need for better estimation procedures (see also VERE-JONES et al., 2001).”
• Seismic moment distribution revisited: II. Moment conservation principle (2002, result): “…et al. 2000a, 2002, MOMS), it becomes clear that the difference in the β values is most probably a result of the strong heterogeneity of the corner moment distribution in these earthquakes and hence due to various earthquake populations mixed in the analysis (cf. Vere-Jones et al. 2001, p. 531).”
• Analysis of aftershocks in a lithospheric model with seismogenic zone governed by damage rheology (2006, result): “Vere-Jones et al. (2001) and Ben-Zion & Lyakhovsky (2002) made a similar point in relation to fitting data associated with accelerated seismic release before large earthquakes.”