Entropy-metric estimation of the small data models with stochastic parameters
V Kovtun, T Altameem, M Al-Maitah, W Kempa - Heliyon, 2024 - cell.com
The formalization of dependencies between datasets, taking into account specific
hypotheses about data properties, is a constantly relevant task, which is especially acute …
hypotheses about data properties, is a constantly relevant task, which is especially acute …
Modelling auto insurance Size-of-Loss distributions using Exponentiated Weibull distribution and de-grouping methods
S Xie - Expert Systems with Applications, 2023 - Elsevier
Rate regulation plays an important role in the financial service of the auto insurance
industry. Modelling the Size of Loss distributions, particularly the large loss distribution at the …
industry. Modelling the Size of Loss distributions, particularly the large loss distribution at the …
Method of winsorized moments for robust fitting of truncated and censored lognormal distributions
When constructing parametric models to predict the cost of future claims, several important
details have to be taken into account:(1) models should be designed to accommodate …
details have to be taken into account:(1) models should be designed to accommodate …
-estimation of Claim Severity Models Weighted by Kumaraswamy Density
Statistical modeling of claim severity distributions is essential in insurance and risk
management, where achieving a balance between robustness and efficiency in parameter …
management, where achieving a balance between robustness and efficiency in parameter …
Robust estimation and diagnostic of generalized linear model for insurance losses: a weighted likelihood approach
TC Fung - Metrika, 2024 - Springer
This paper presents a score-based weighted likelihood estimator (SWLE) for robust
estimations of the generalized linear model (GLM) for insurance loss data. The SWLE …
estimations of the generalized linear model (GLM) for insurance loss data. The SWLE …
Robust estimation and model diagnostic of insurance loss data: a weighted likelihood approach
TC Fung - arXiv preprint arXiv:2204.10459, 2022 - arxiv.org
This paper presents a score-based weighted likelihood estimator (SWLE) for robust
estimations of generalized linear model (GLM) for insurance loss data. The SWLE exhibits a …
estimations of generalized linear model (GLM) for insurance loss data. The SWLE exhibits a …
Soft splicing model: bridging the gap between composite model and finite mixture model
Considerations of both the heavy-tail phenomenon and multi-modality of a claim severity
distribution have been challenging in the actuarial literature and practices. In this article, we …
distribution have been challenging in the actuarial literature and practices. In this article, we …