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Penalising Unexplainability in Neural Networks for Predicting Payments per Claim Incurred
In actuarial modelling of risk pricing and loss reserving in general insurance, also known as P&C or non-life insurance, there is business value in the predictive power and automation through machine learning.
Jacky H. L. Poon
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Individual loss reserving using paid–incurred data [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pigeon, Mathieu +2 more
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Risks Special Issue on “Granular Models and Machine Learning Models”
It is probably fair to date loss reserving by means of claim modelling from the late 1960s [...]
Greg Taylor
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10.22133/MTLJ.2023.353264.1108
owadays, cyber games are a profitable business with wide economic dimensions, including the property rights of gamers, i.e., “Accounts” and “Points”. Since the producers of cyber games are in a superior position to the gamers, by including terms in terms
Pardis Behbood , Hojjat Mobayen
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Comparison of Claim Reserves Methods Using Insurance Portfolio Generators [PDF]
Different reserving methods can be used to predict claim values in non-life insurance. This article compares two different methodological approaches to reserving methods, namely, Chain-ladder (the traditional approach to reserving in non-life insurance ...
Petr Vejmělka, Tomáš Cipra
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R: The volume of excess reserves at the beginning of the evaluation period. D : The volume of new deposit liabilities created during the period. L: The loss of reserves during the period.
Heineke, John, Birch, Eleanor M.
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Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)
Traditionally, actuaries have used run-off triangles to estimate reserve (“macro” models, on aggregated data). However, it is possible to model payments related to individual claims. If those models provide similar estimations, we investigate uncertainty
Arthur Charpentier, Mathieu Pigeon
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An Individual Claims History Simulation Machine
The aim of this project is to develop a stochastic simulation machine that generates individual claims histories of non-life insurance claims. This simulation machine is based on neural networks to incorporate individual claims feature information.
Andrea Gabrielli, Mario V. Wüthrich
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CP-GAN: A Cross-Pose Profile Face Frontalization Boosting Pose-Invariant Face Recognition
Pose variant or self-occlusion is one of the open issues which severely degrades the performance of pose-invariant face recognition (PIFR). Existing solutions to PIFR either have undesirable generalization based on challenging pose normalization or are ...
Jinjin Liu +3 more
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Efficient communication in the intelligent transport system requires the vehicles to transmit safety and non-safety messages timely without any loss. In multi-channel MAC, the attributes of SCH channels are frequency range, frequency limit, power limit ...
Suchi Johari, M. Bala Krishna
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