Conformal stacked weather forecasting

Jelmer Neeven; Evgueni Smirnov

Conformal stacked weather forecasting

Robots, Agents, Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.
Publisher	Proceedings of Machine Learning Research
Pages	220-233
Number of pages	14
Volume	91
Publication status	Published - 2018

Cite this

@inproceedings{ccd28ea3143e48f8badf6b1418498604,

title = "Conformal stacked weather forecasting",

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.",

author = "Jelmer Neeven and Evgueni Smirnov",

year = "2018",

language = "English",

volume = "91",

pages = "220--233",

booktitle = "Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.",

publisher = "Proceedings of Machine Learning Research",

}

Conformal stacked weather forecasting. / Neeven, Jelmer; Smirnov, Evgueni.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.. Vol. 91 Proceedings of Machine Learning Research, 2018. p. 220-233.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Conformal stacked weather forecasting

AU - Neeven, Jelmer

AU - Smirnov, Evgueni

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Conference article in proceeding

VL - 91

SP - 220

EP - 233

BT - Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.

PB - Proceedings of Machine Learning Research

ER -

Conformal stacked weather forecasting

Abstract

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