This work presents an application of a new method for changepoint detection on spatio-temporal point process data. We summarise the methodology, based on building a Bayesian hierarchical model for the data and priors on the number and positions of the changepoints, and introduce two approaches to taking decisions on the acceptance of potential changepoints. We present the dataset collecting Italian seismic events over 30 years and show results for multiple changepoint detection. Finally, concluding comments and suggestions for further work are provided.
(2015). Looking for changepoints in spatio-temporal earthquake data [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/48763
Looking for changepoints in spatio-temporal earthquake data
2015-01-01
Abstract
This work presents an application of a new method for changepoint detection on spatio-temporal point process data. We summarise the methodology, based on building a Bayesian hierarchical model for the data and priors on the number and positions of the changepoints, and introduce two approaches to taking decisions on the acceptance of potential changepoints. We present the dataset collecting Italian seismic events over 30 years and show results for multiple changepoint detection. Finally, concluding comments and suggestions for further work are provided.| File | Dimensione del file | Formato | |
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