Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Wuthrich, Mario V.
2013.
Non-Life Insurance: Mathematics & Statistics.
SSRN Electronic Journal,
Lei, Ziang
and
Chen, Miaochao
2021.
A Poisson Equation-Based Method for 3D Reconstruction of Animated Images.
Advances in Mathematical Physics,
Vol. 2021,
Issue. ,
p.
1.
Fávero, Luiz Paulo
Hair, Joseph F.
Souza, Rafael de Freitas
Albergaria, Matheus
and
Brugni, Talles V.
2021.
Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships.
Mathematics,
Vol. 9,
Issue. 10,
p.
1100.
Wuthrich, Mario V.
and
Merz, Michael
2021.
Statistical Foundations of Actuarial Learning and its Applications.
SSRN Electronic Journal ,
Bhati, Deepesh
and
Calderín-Ojeda, Enrique
2022.
ON THE ELL FAMILY OF DISTRIBUTIONS WITH ACTUARIAL APPLICATIONS.
ASTIN Bulletin,
Vol. 52,
Issue. 1,
p.
185.
Gao, Guangyuan
Wang, He
and
Wüthrich, Mario V.
2022.
Boosting Poisson regression models with telematics car driving data.
Machine Learning,
Vol. 111,
Issue. 1,
p.
243.
Kim, Minwoo
Jeong, Himchan
and
Dey, Dipak
2022.
Approximation of Zero-Inflated Poisson Credibility Premium via Variational Bayes Approach.
Risks,
Vol. 10,
Issue. 3,
p.
54.
Bar-Lev, Shaul K.
and
Ridder, Ad
2022.
The Large Arcsine Exponential Dispersion Model—Properties and Applications to Count Data and Insurance Risk.
Mathematics,
Vol. 10,
Issue. 19,
p.
3715.
Meng, Shengwang
Gao, Yaqian
and
Huang, Yifan
2022.
Actuarial intelligence in auto insurance: Claim frequency modeling with driving behavior features and improved boosted trees.
Insurance: Mathematics and Economics,
Vol. 106,
Issue. ,
p.
115.
Ibrahim, Shibal
Hazimeh, Hussein
and
Mazumder, Rahul
2022.
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles.
p.
666.
Bladt, Martin
and
Yslas, Jorge
2023.
Robust claim frequency modeling through phase-type mixture-of-experts regression.
Insurance: Mathematics and Economics,
Vol. 111,
Issue. ,
p.
1.
Wüthrich, Mario V.
and
Merz, Michael
2023.
Statistical Foundations of Actuarial Learning and its Applications.
p.
111.
Gu, Zheng
Li, Yunxian
Zhang, Minghui
and
Liu, Yifei
2023.
Modelling economic losses from earthquakes using regression forests: Application to parametric insurance.
Economic Modelling,
Vol. 125,
Issue. ,
p.
106350.
Gao, Yaqian
Huang, Yifan
and
Meng, Shengwang
2023.
Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data.
Statistical Analysis and Data Mining: The ASA Data Science Journal,
Vol. 16,
Issue. 2,
p.
97.
Wuthrich, Mario V.
2024.
Experience Rating in Insurance Pricing.
SSRN Electronic Journal,
Xu, Xin
Ye, Tao
Gao, Jieying
and
Chu, Dongxiao
2024.
Generalized hurdle count data models based on interpretable machine learning with an application to health care demand.
Computing,
Vol. 106,
Issue. 2,
p.
295.
Zhang, Yaojun
Ji, Lanpeng
Aivaliotis, Georgios
and
Taylor, Charles
2024.
Bayesian CART models for insurance claims frequency.
Insurance: Mathematics and Economics,
Vol. 114,
Issue. ,
p.
108.
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,