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Machine Learning in Insurance - Tapa dura

 
9783039364473: Machine Learning in Insurance
Tapa dura
ISBN 10: 3039364472 ISBN 13: 9783039364473
Editorial: MDPI AG, 2020

Sinopsis

Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at hand and how any solution may affect the company and its customers. One aspect that has, perhaps, not been so well developed among actuaries is validation. Discussions among actuaries’ "preferred methods" were often without solid scientific arguments, including validation of the case at hand. Through this collection, we aim to promote a good practice of machine learning in insurance, considering the following three key issues: a) who is the client, or sponsor, or otherwise interested real-life target of the study? b) The reason for working with a particular data set and a clarification of the available extra knowledge, that we also call prior knowledge, besides the data set alone. c) A mathematical statistical argument for the validation procedure.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
MDPI AG
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3039364472
ISBN 13 
9783039364473
Encuadernación
Tapa dura
Número de páginas
260
Editor
Kyriakou Ioannis, Nielsen Jens Perch, Asimit Vali
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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