Insurance Reserve Prediction: Opportunities and Challenges-Reference-Cited by-同舟云学术

Insurance Reserve Prediction: Opportunities and Challenges

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Taha Ayman¹,Cosgrave Bernard²,Rashwan Wael³,McKeever Susan³

Affiliation:

1. Technological University Dublin,Dublin,Ireland

2. DOCOsoft,Dublin,Ireland

3. Technological University Dublin and CeADAR Technology Centre for Applied AI,Dublin,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798893/9798894/09799041.pdf?arnumber=9799041

Reference38 articles.

1. Empirical evaluation of gated recurrent neural networks on sequence modeling;chung,2014

2. Claims Reserving Using Tweedie's Compound Poisson Model

3. An index which distinguishes between some important exponential families;tweedie;Statistics Applications and new directions Proc Indian statistical institute golden Jubilee International conference,1984

4. A Bayesian non-linear model for forecasting insurance loss payments

5. Dependence modelling in multivariate claims run-off triangles

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1. Claim reserving via inverse probability weighting: a micro-level Chain-Ladder method;European Actuarial Journal;2024-08-28

2. Investment in big data analytics and loss reserve accuracy: evidence from the U.S. property-liability insurance industry;The Geneva Papers on Risk and Insurance - Issues and Practice;2024-08-02

3. Claim Reserving via Inverse Probability Weighting: A Micro-Level Chain-Ladder Method;SSRN Electronic Journal;2023