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Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields

SR Johnson, SE Heaps, KJ Wilson… - arXiv preprint arXiv …, 2021 - arxiv.org
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… By opting for a simulation based inference approach we are able to straightforwardly handle both missing and zero (censored) observations by appealing to data augmentation (Tanner …

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BibTeX

@misc{johnson2021bayesian,
title={Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields},
author={Stephen Richard Johnson and Sarah Elizabeth Heaps and Kevin James Wilson and Darren James Wilkinson},
year={2021},
eprint={2105.03269},
archivePrefix={arXiv},
primaryClass={id='stat.ME' full_name='Methodology' is_active=True alt_name=None in_archive='stat' is_general=False description='Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods'}
}

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