Abstract / Description of output
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 language | English |
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Title of host publication | Proceedings of the 33rd International Workshop on Statistical Modelling |
Publisher | University of Bristol |
Number of pages | 5 |
Publication status | Published - 23 Oct 2018 |
Event | 33rd International Workshop on Statistical Modelling - Bristol, United Kingdom Duration: 16 Jul 2018 → 20 Jul 2018 |
Conference
Conference | 33rd International Workshop on Statistical Modelling |
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Abbreviated title | IWSM |
Country/Territory | United Kingdom |
City | Bristol |
Period | 16/07/18 → 20/07/18 |