A deep factor model for crop yield forecasting and insurance ratemaking
Effective agricultural insurance and risk management programs rely on accurate crop yield forecasting. In this article, a novel deep factor model for crop yield forecasting and crop insurance ratemaking is proposed. This framework first utilizes a deep autoencoder to extract a latent factor, called...
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Main Author: | Zhu, Wenjun |
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Other Authors: | Nanyang Business School |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/170183 |
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Institution: | Nanyang Technological University |
Language: | English |
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