Two bayesian algorithms for the estimation of earthquake parameters

J. P. Wang; Logan Brant

doi:10.1193/052613EQS134T

Two bayesian algorithms for the estimation of earthquake parameters

J. P. Wang
, Logan Brant

Research output: Contribution to journal › Journal Article › peer-review

5 Citations (Scopus)

Abstract

The purpose of the Bayesian approach is to integrate multiple sources of information into one final best-estimate with a unique algorithm, and a few applications have been developed for a variety of studies. This technical note provides two Bayesian algorithms for earthquake studies: the development of earthquake source-to-site distance distributions and the smoothing of earthquake rates in a region. In addition to the derivations, this note also provides demonstrations on the basis of real earthquake data to provide a better explanation of the two Bayesian algorithms proposed.

Original language	English
Pages (from-to)	565-578
Number of pages	14
Journal	Earthquake Spectra
Volume	31
Issue number	1
DOIs	https://doi.org/10.1193/052613EQS134T
Publication status	Published - 1 Feb 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2015, Earthquake Engineering Research Institute.

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10.1193/052613EQS134T

Cite this

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Two bayesian algorithms for the estimation of earthquake parameters

Abstract

Bibliographical note

UN SDGs

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