Abstract
We fit a stochastic spatial-temporal model to high-resolution rainfall radar data for a single rainfall event. Approximate Bayesian Computation (ABC) is used to fit a model of Cox, Isham and Northrop, previously fitted using the Generalised Method of Moments (GMM). We then show that ABC readily adapts to more general, and thus more realistic, variants of the model. The Simulated Method of Moments (SMM) is used to initialise the ABC fit.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 33rd International Workshop on Statistical Modelling |
| Place of Publication | United Kingdom |
| Publisher | Statistical Modelling Society |
| Pages | 7-12 |
| Number of pages | 6 |
| Volume | 2 |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | International Workshop on Statistical Modelling (33rd : 2018) - Bristol, United Kingdom Duration: 15 Jul 2018 → 20 Jul 2018 |
Conference
| Conference | International Workshop on Statistical Modelling (33rd : 2018) |
|---|---|
| Country/Territory | United Kingdom |
| City | Bristol |
| Period | 15/07/18 → 20/07/18 |
Keywords
- Spatial-temporal
- spatiotemporal
- rainfall
- Approximate Bayesian Computation
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