Insurance analytics: prediction, explainability and fairness

This article was written jointly with Kjersti Aas (Norwegian Computing Center & Norwegian University of Science and Technology), Fei Huang (University of New South Wales) and Ronald Richman (Old Mutual Insure & University of the Witwatersrand), for the introduction of a special issue of the Annals of Actuarial Science. .The expanding application of advanced analytics in insurance has generated numerous opportunities, such as more accurate predictive modelling powered by Machine Learning and ...

Publication Details

Journal
Industrias Culturais (Universidade de Coimbra)
Published
2024-12-10
DOI
https://doi.org/10.58079/12l6g
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
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article

Insurance analytics: prediction, explainability and fairness

Industrias Culturais (Universidade de Coimbra)
Probability and Risk Models
article

Insurance analytics: prediction, explainability and fairness

article en

Abstract

This article was written jointly with Kjersti Aas (Norwegian Computing Center & Norwegian University of Science and Technology), Fei Huang (University of New South Wales) and Ronald Richman (Old Mutual Insure & University of the Witwatersrand), for the introduction of a special issue of the Annals of Actuarial Science. .The expanding application of advanced analytics in insurance has generated numerous opportunities, such as more accurate predictive modelling powered by Machine Learning and ...

Industrias Culturais (Universidade de Coimbra)
Decent work and economic growth
Openalex Percentile: Top 45%
Probability and Risk Models
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Insurance analytics: prediction, explainability and fairness · Industrias Culturais (Universidade de Coimbra) (2024) | TGRS Research Map | TGRS