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assessment of benefits, on the way to deal with climate change, on the spatial variability of weather and on the interactions …
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PurposeThe purpose of this paper is to propose an improved reinsurance pricing framework, which includes a crop yield forecasting model that integrates weather variables and crop production information from different geographically correlated regions using a new credibility estimator, and closed...
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Effective agricultural insurance and risk management program rely on accurate crop yield forecasting. In this paper, we propose a novel deep factor model for crop yield forecasting and crop insurance ratemaking. This framework first utilizes a deep autoencoder to extract a latent factor, called...
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