Bayesian Predictive Analysis of Natural Disaster Losses
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- M. S. Aminzadeh & M. Deng, 2019. "Bayesian predictive modeling for Inverse Gamma-Pareto composite distribution," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(8), pages 1938-1954, April.
- Charles Levi, & Partrat, Christian, 1991. "Statistical Analysis of Natural Events in the United States," ASTIN Bulletin, Cambridge University Press, vol. 21(2), pages 253-276, November.
- Abu Bakar, S.A. & Hamzah, N.A. & Maghsoudi, M. & Nadarajah, S., 2015. "Modeling loss data using composite models," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 146-154.
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Keywords
composite distributions; predictive analysis; bayesian inference; natural disaster; climate change; risk measures;All these keywords.
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