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Titlebook: Effective Statistical Learning Methods for Actuaries I; GLMs and Extensions Michel Denuit,Donatien Hainaut,Julien Trufin Textbook 2019 Spri

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https://doi.org/10.1007/978-3-642-93176-5 carefully explained, referring to the appropriate literature for related problems not covered here. The nature of data available to perform insurance studies is also discussed, stressing the inherent limitations in the interpretation of conclusions drawn from observational studies.
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Insurance Risk Classification carefully explained, referring to the appropriate literature for related problems not covered here. The nature of data available to perform insurance studies is also discussed, stressing the inherent limitations in the interpretation of conclusions drawn from observational studies.
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Maximum Likelihood Estimationors enjoy convenient theoretical properties, being optimal in a wide variety of situations. The maximum likelihood principle will be used throughout the next chapters to fit the supervised learning models.
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