Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes-Reference-Cited by-同舟云学术

Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes

Published:2019-10-02 Issue:4 Volume:23 Page:535-550
ISSN:1092-0277
Container-title:North American Actuarial Journal
language:en
Short-container-title:North American Actuarial Journal

Author:

Ghahari Azar¹,Newlands Nathaniel K.²,Lyubchich Vyacheslav³,Gel Yulia R.⁴

Affiliation:

1. Department of Mathematics and Statistics, Boston University, Boston, Massachusetts

2. Summerland Research and Development Centre, Agriculture and Agri-Food Canada, Summerland, British Columbia, Canada

3. Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland

4. Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10920277.2019.1633928

Reference50 articles.

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3. Berrisford, P., D. P. Dee, Poli, R. Brugge, M. Fielding, M. Fuentes, P. W. Kållberg, S. Kobayashi, S. Uppala, and A. Simmons, 2011. The ERA-Interim Archive. ERA Report Series No. 1, Ver. 2, Reading, UK: European Centre for Medium Range Weather Forecasts.

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