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relation with the robust learning theory, we propose an insurance pricing formula to accommodate the ambiguity types in the …
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This paper proposes a generalized deep learning approach for predicting claims developments for non-life insurance reserving. The generalized approach offers more flexibility and accuracy in solving actuarial reserving problems. It predicts claims outstanding weighted by exposure instead of loss...
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explanation through Bayesian learning from rare events. Agents face a latent and time-varying probability of economic disaster …. When a disaster occurs, learning results in greater effects on asset prices because agents update their probability of … future disasters. Moreover, agents' belief that the disaster risk is high can rationally persist for years, even when it is …
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disaster management system to address all phases of a disaster: from disaster prevention, mitigation, and preparedness, to … drills (Chapter 4, 5, 6, 7), Community based activities for disaster awareness and risk communication (Chapter 8, 9), and … Disaster Management in Japan (Chapter 2), followed by an overview of disaster simulation drills in Japan, particularly focusing …
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