Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
Year of publication: |
2022
|
---|---|
Authors: | Fung, Tsz Chai |
Published in: |
Insurance / Mathematics & economics. - Amsterdam : Elsevier, ISSN 0167-6687, ZDB-ID 8864-X. - Vol. 107.2022, p. 180-198
|
Subject: | Generalized expectation-maximization algorithm | M-estimator | Random truncation | Regularly varying function | Multimodal distribution | Schätztheorie | Estimation theory | Statistische Verteilung | Statistical distribution | Algorithmus | Algorithm | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Mathematische Optimierung | Mathematical programming | Modellierung | Scientific modelling |
-
EVM : A Fast Alternative to the EM Algorithm with Application to Gaussian Mixture Models
Britten-Jones, Mark, (2020)
-
Fitting mixtures of Erlangs to censored and truncated data using the EM algorithm
Antonio, Katrien, (2014)
-
Fitting mixtures of Erlangs to censored and truncated data using the EM algorithm
Verbelen, Roel, (2015)
- More ...
-
Improving risk classification and ratemaking using mixture-of-experts models with random effects
Tseung, Spark C., (2023)
-
Testing constant serial dynamics in two-step risk inference for longitudinal actuarial data
Fung, Tsz Chai, (2024)
-
A new class of severity regression models with an application to IBNR prediction
Fung, Tsz Chai, (2021)
- More ...