BYU

Abstract by Camille Carter

Personal Infomation


Presenter's Name

Camille Carter

Co-Presenters

Josh Lapicola
Tim Sitze

Degree Level

Undergraduate

Co-Authors

Josh Lapicola
Tim Sitze

Abstract Infomation


Department

Mathematics

Faculty Advisor

Jared Whitehead

Title

Bayesian Inference of Earthquake Parameters Using Ground Motion Data

Abstract

Inferring the source parameters of an earthquake in the absence of seismological data is a difficult problem in geology. We use Bayesian methods and Metropolis Hastings sampling to estimate the location, magnitude, and geometry of an 1852 Indonesian earthquake. We give an overview of the ground motion prediction models and our algorithm and demonstrate its results.