Comparison of MCMC approaches with an application to volcano earthquake processes

Anastasia Ignatieva, Andrew Bell, Bruce Worton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we consider statistical modelling of volcanic earthquake data. In particular, we investigate the use of Bayesian analysis with Markov Chain Monte Carlo (MCMC) to estimate the parameters of point process models, and make inferences on the models, applied to data collected from the Tungurahua volcano in Ecuador.
Original languageEnglish
Title of host publicationProceedings of the 33rd International Workshop on Statistical Modelling
PublisherUniversity of Bristol
Number of pages5
Publication statusAccepted/In press - 9 Apr 2018
Event33rd International Workshop on Statistical Modelling - Bristol, United Kingdom
Duration: 16 Jul 201820 Jul 2018

Conference

Conference33rd International Workshop on Statistical Modelling
Abbreviated titleIWSM
CountryUnited Kingdom
CityBristol
Period16/07/1820/07/18

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