Probabilistic forecasting of thunderstorms in the Eastern Alps
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- Andreas Mayr & Nora Fenske & Benjamin Hofner & Thomas Kneib & Matthias Schmid, 2012. "Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(3), pages 403-427, May.
- Brezger, Andreas & Lang, Stefan, 2006. "Generalized structured additive regression based on Bayesian P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 50(4), pages 967-991, February.
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More about this item
Keywords
lightning detection data; statistical post-processing; generalized additive models; gradient boosting; stability selection; MCMC;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2017-12-18 (Big Data)
- NEP-CMP-2017-12-18 (Computational Economics)
- NEP-ENV-2017-12-18 (Environmental Economics)
- NEP-FOR-2017-12-18 (Forecasting)
- NEP-ORE-2017-12-18 (Operations Research)
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