Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Lopez, Olivier
Milhaud, Xavier
and
Thérond, Pierre-E.
2019.
A TREE-BASED ALGORITHM ADAPTED TO MICROLEVEL RESERVING AND LONG DEVELOPMENT CLAIMS – ERRATUM.
ASTIN Bulletin,
Vol. 49,
Issue. 03,
p.
919.
Delong, Łukasz
and
Wüthrich, Mario V.
2020.
Neural Networks for the Joint Development of Individual Payments and Claim Incurred.
Risks,
Vol. 8,
Issue. 2,
p.
33.
Gabrielli, Andrea
2021.
An individual claims reserving model for reported claims.
European Actuarial Journal,
Vol. 11,
Issue. 2,
p.
541.
Maciak, Matúš
Okhrin, Ostap
and
Pešta, Michal
2021.
Infinitely stochastic micro reserving.
Insurance: Mathematics and Economics,
Vol. 100,
Issue. ,
p.
30.
Yanez, Juan Sebastian
and
Pigeon, Mathieu
2021.
Micro-level parametric duration-frequency-severity modeling for outstanding claim payments.
Insurance: Mathematics and Economics,
Vol. 98,
Issue. ,
p.
106.
Lopez, Olivier
and
Milhaud, Xavier
2021.
Individual reserving and nonparametric estimation of claim amounts subject to large reporting delays.
Scandinavian Actuarial Journal,
Vol. 2021,
Issue. 1,
p.
34.
Delong, Łukasz
Lindholm, Mathias
and
Wüthrich, Mario V.
2022.
Collective reserving using individual claims data.
Scandinavian Actuarial Journal,
Vol. 2022,
Issue. 1,
p.
1.
Hu, Changyue
Quan, Zhiyu
and
Chong, Wing Fung
2022.
Imbalanced learning for insurance using modified loss functions in tree-based models.
Insurance: Mathematics and Economics,
Vol. 106,
Issue. ,
p.
13.
Lindholm, Mathias
and
Zakrisson, Henning
2022.
A COLLECTIVE RESERVING MODEL WITH CLAIM OPENNESS.
ASTIN Bulletin,
Vol. 52,
Issue. 1,
p.
117.
Crevecoeur, Jonas
Robben, Jens
and
Antonio, Katrien
2022.
A hierarchical reserving model for reported non-life insurance claims.
Insurance: Mathematics and Economics,
Vol. 104,
Issue. ,
p.
158.
Hu, Changyue
Quan, Zhiyu
and
Chong, Wing Fung
2022.
Imbalanced Learning for Insurance Using Modified Loss Functions in Tree-Based Models.
SSRN Electronic Journal ,
Embrechts, Paul
and
Wüthrich, Mario V.
2022.
Recent Challenges in Actuarial Science.
Annual Review of Statistics and Its Application,
Vol. 9,
Issue. 1,
p.
119.
Okine, A. Nii-Armah
Frees, Edward W.
and
Shi, Peng
2022.
JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING.
ASTIN Bulletin,
Vol. 52,
Issue. 1,
p.
91.
Tzougas, George
and
Kutzkov, Konstantin
2023.
Enhancing Logistic Regression Using Neural Networks for Classification in Actuarial Learning.
Algorithms,
Vol. 16,
Issue. 2,
p.
99.
Buchardt, Kristian
Furrer, Christian
and
Lunding Sandqvist, Oliver
2023.
Transaction time models in multi-state life insurance.
Scandinavian Actuarial Journal,
Vol. 2023,
Issue. 10,
p.
974.
Qiao, Yang
Wang, Chou-Wen
and
Zhu, Wenjun
2024.
Machine learning in long-term mortality forecasting.
The Geneva Papers on Risk and Insurance - Issues and Practice,
Vol. 49,
Issue. 2,
p.
340.