Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions
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Features numerous examples and case studies in P&C, Life and Health insurance Provides a broad and self-contained presentation of insurance data analytics techniques, from classical GLMs to neural networks Addresses many specific issues which arise in insurance data analysis Can be used as course material, for CPD programs or for self-study Complements the existing literature on GLMs in insurance Written by actuaries for actuaries Based on more than a decade of lectures and consulting projects on the topic, by the three authors
Features numerous examples and case studies in P&C, Life and Health insurance Provides a broad and self-contained presentation of insurance data analytics techniques, from classical GLMs to neural networks Addresses many specific issues which arise in insurance data analysis Can be used as course material, for CPD programs or for self-study Complements the existing literature on GLMs in insurance Written by actuaries for actuaries Based on more than a decade of lectures and consulting projects on the topic, by the three authors
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