Claim Models: Granular Forms and Machine Learning Forms

This collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and...

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Detalhes bibliográficos
Autor principal: Taylor, Greg
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
Assuntos:
TJ1-1570
TA1-2040
T1-995
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology
n/a
granular models
neural networks
actuarial
payments per claim incurred
risk pricing
machine learning
claim watching
loss reserving
gradient boosting
predictive modeling
classification and regression trees
individual models
individual claims reserving
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/43322
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