Fitting a spatial-temporal rainfall model using Approximate Bayesian Computation

Aryal, Nanda and Jones, Owen D. ORCID: https://orcid.org/0000-0002-7300-5510 2018. Fitting a spatial-temporal rainfall model using Approximate Bayesian Computation. Presented at: IWSM2018: 33rd International Workshop on Statistical Modelling, Bristol, UK, 16-20 July 2018. 33rd International Workshop on Statistical Modelling. , vol.2 University of Bristol, pp. 7-12.

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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.

Item Type:	Conference or Workshop Item (Poster)
Date Type:	Published Online
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	University of Bristol
Date of First Compliant Deposit:	26 July 2018
Last Modified:	23 Oct 2022 14:19
URI:	https://orca.cardiff.ac.uk/id/eprint/113368

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