Evaluation and Extension of Inductive Venn-Abers Predictive Distribution. / Nouretdinov, Ilia; Gammerman, James; Rehal, Daljit.

1 p. Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications.. 2020, Poster presented at conference.

Research output: Other contribution

Published

Standard

Evaluation and Extension of Inductive Venn-Abers Predictive Distribution. / Nouretdinov, Ilia; Gammerman, James; Rehal, Daljit.

1 p. Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications.. 2020, Poster presented at conference.

Research output: Other contribution

Harvard

Nouretdinov, I, Gammerman, J & Rehal, D 2020, Evaluation and Extension of Inductive Venn-Abers Predictive Distribution. Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications.. <https://cml.rhul.ac.uk/copa2020/posters/poster_ilia.pdf>

APA

Nouretdinov, I., Gammerman, J., & Rehal, D. (2020, Sep 11). Evaluation and Extension of Inductive Venn-Abers Predictive Distribution. Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications. https://cml.rhul.ac.uk/copa2020/posters/poster_ilia.pdf

Vancouver

Author

Nouretdinov, Ilia ; Gammerman, James ; Rehal, Daljit. / Evaluation and Extension of Inductive Venn-Abers Predictive Distribution. 2020. Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications. 1 p.

BibTeX

@misc{b3bf9aa7125e40adbfb1730ddf40493c,
title = "Evaluation and Extension of Inductive Venn-Abers Predictive Distribution",
abstract = "In this work the Inductive Venn-Abers Predictive Distribution (IVAPD) regression al- gorithm was reviewed and developed.The method was first outlined in the conference proceeding paper (Nouretdinov et al., 2018) where classical Venn Prediction was extended to the regression problems.The contribution of this work is the algorithm that allows combination of more than one underlying method. It has been shown with the Conformal Predictions method that way allows to obtain a better accuracy of prediction (Toccaceli and Gammerman (2019)), and another aggregation approach was developed for Venn-Abers prediction.In addition, more attention was paid to an evaluation, considering Continuous Ranked Probability Score (CRPS) as the standard scoring rule.In the application, the data sets were related to the areas of predictive maintenance and energy consumption.",
author = "Ilia Nouretdinov and James Gammerman and Daljit Rehal",
year = "2020",
month = sep,
day = "11",
language = "English",
publisher = "Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications.",
type = "Other",

}

RIS

TY - GEN

T1 - Evaluation and Extension of Inductive Venn-Abers Predictive Distribution

AU - Nouretdinov, Ilia

AU - Gammerman, James

AU - Rehal, Daljit

PY - 2020/9/11

Y1 - 2020/9/11

N2 - In this work the Inductive Venn-Abers Predictive Distribution (IVAPD) regression al- gorithm was reviewed and developed.The method was first outlined in the conference proceeding paper (Nouretdinov et al., 2018) where classical Venn Prediction was extended to the regression problems.The contribution of this work is the algorithm that allows combination of more than one underlying method. It has been shown with the Conformal Predictions method that way allows to obtain a better accuracy of prediction (Toccaceli and Gammerman (2019)), and another aggregation approach was developed for Venn-Abers prediction.In addition, more attention was paid to an evaluation, considering Continuous Ranked Probability Score (CRPS) as the standard scoring rule.In the application, the data sets were related to the areas of predictive maintenance and energy consumption.

AB - In this work the Inductive Venn-Abers Predictive Distribution (IVAPD) regression al- gorithm was reviewed and developed.The method was first outlined in the conference proceeding paper (Nouretdinov et al., 2018) where classical Venn Prediction was extended to the regression problems.The contribution of this work is the algorithm that allows combination of more than one underlying method. It has been shown with the Conformal Predictions method that way allows to obtain a better accuracy of prediction (Toccaceli and Gammerman (2019)), and another aggregation approach was developed for Venn-Abers prediction.In addition, more attention was paid to an evaluation, considering Continuous Ranked Probability Score (CRPS) as the standard scoring rule.In the application, the data sets were related to the areas of predictive maintenance and energy consumption.

M3 - Other contribution

PB - Proceedings of the Ninth Symposium on Conformal and Probabilistic Prediction and Applications.

ER -