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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Format: | Journal Article |
Language: | English |
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2023
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Online Access: | https://hdl.handle.net/10356/170183 |