Conformal stacked weather forecasting

Jelmer Neeven, Evgueni Smirnov
Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 91:220-233, 2018.

Abstract

In this paper we propose to apply the stacking method to aggregating multi-output predictions from different weather-forecasting domains (websites). Depending on the aggregating procedure (non-conformal/conformal), the results can be bare multi-output predictions or multi-output prediction regions. The experiments show the applicability of the stacking method on real data related to eight weather-forecasting domains.

Cite this Paper

BibTeX
@InProceedings{pmlr-v91-neeven18a, title = {Conformal stacked weather forecasting}, author = {Neeven, Jelmer and Smirnov, Evgueni}, booktitle = {Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications}, pages = {220--233}, year = {2018}, editor = {Gammerman, Alex and Vovk, Vladimir and Luo, Zhiyuan and Smirnov, Evgueni and Peeters, Ralf}, volume = {91}, series = {Proceedings of Machine Learning Research}, month = {11--13 Jun}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v91/neeven18a/neeven18a.pdf}, url = {https://proceedings.mlr.press/v91/neeven18a.html}, abstract = {In this paper we propose to apply the stacking method to aggregating multi-output predictions from different weather-forecasting domains (websites). Depending on the aggregating procedure (non-conformal/conformal), the results can be bare multi-output predictions or multi-output prediction regions. The experiments show the applicability of the stacking method on real data related to eight weather-forecasting domains.} }
Endnote
%0 Conference Paper %T Conformal stacked weather forecasting %A Jelmer Neeven %A Evgueni Smirnov %B Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications %C Proceedings of Machine Learning Research %D 2018 %E Alex Gammerman %E Vladimir Vovk %E Zhiyuan Luo %E Evgueni Smirnov %E Ralf Peeters %F pmlr-v91-neeven18a %I PMLR %P 220--233 %U https://proceedings.mlr.press/v91/neeven18a.html %V 91 %X In this paper we propose to apply the stacking method to aggregating multi-output predictions from different weather-forecasting domains (websites). Depending on the aggregating procedure (non-conformal/conformal), the results can be bare multi-output predictions or multi-output prediction regions. The experiments show the applicability of the stacking method on real data related to eight weather-forecasting domains.
APA
Neeven, J. & Smirnov, E.. (2018). Conformal stacked weather forecasting. Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications, in Proceedings of Machine Learning Research 91:220-233 Available from https://proceedings.mlr.press/v91/neeven18a.html.

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