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...

Полное описание

Библиографические подробности

Главный автор:	Taylor, Greg
Формат:	Online
Язык:	английский
Опубликовано:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Предметы:	TJ1-1570 TA1-2040 T1-995 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 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
Online-ссылка:	46002
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