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North American actuarial journal : NAAJ ; leading the way with original research and innovative applications for actuarial science
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ECONIS (ZBW)
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Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
Fung, Tsz Chai
- In:
Insurance / Mathematics & economics
107
(
2022
),
pp. 180-198
Persistent link: https://www.econbiz.de/10013471210
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2
Improving risk classification and ratemaking using mixture-of-experts models with random effects
Tseung, Spark C.
;
Chan, Ian Weng
;
Fung, Tsz Chai
; …
- In:
The journal of risk & insurance
90
(
2023
)
3
,
pp. 789-820
Persistent link: https://www.econbiz.de/10014364572
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3
A new class of severity regression models with an application to IBNR prediction
Fung, Tsz Chai
;
Badescu, Andrei L.
;
Lin, X. Sheldon
- In:
North American actuarial journal : NAAJ ; leading the …
25
(
2021
)
2
,
pp. 206-231
Persistent link: https://www.econbiz.de/10012549752
Saved in:
4
Multivariate Cox Hidden Markov models with an application to operational risk
Fung, Tsz Chai
;
Badescu, Andrei L.
;
Lin, X. Sheldon
- In:
Scandinavian actuarial journal
2019
(
2019
)
8
,
pp. 686-710
Persistent link: https://www.econbiz.de/10012194991
Saved in:
5
A class of mixture of experts models for general insurance : theoretical developments
Fung, Tsz Chai
;
Badescu, Andrei L.
;
Lin, X. Sheldon
- In:
Insurance / Mathematics & economics
89
(
2019
),
pp. 111-127
Persistent link: https://www.econbiz.de/10012133518
Saved in:
6
A class of mixture of experts models for general insurance : application to correlated claim frequencies
Fung, Tsz Chai
;
Badescu, Andrei L.
;
Lin, X. Sheldon
- In:
Astin bulletin : the journal of the International …
49
(
2019
)
3
,
pp. 647-688
Persistent link: https://www.econbiz.de/10012116379
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7
LRMoE.jl : a software package for insurance loss modelling using mixture of experts regression model
Tseung, Spark C.
;
Badescu, Andrei L.
;
Fung, Tsz Chai
; …
- In:
Annals of actuarial science : publ. by the Institute of …
15
(
2021
)
2
,
pp. 419-440
Persistent link: https://www.econbiz.de/10012593587
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8
Fitting censored and truncated regression data using the mixture of experts models
Fung, Tsz Chai
;
Badescu, Andrei L.
;
Lin, X. Sheldon
- In:
North American actuarial journal : NAAJ ; leading the …
26
(
2022
)
4
,
pp. 496-520
Persistent link: https://www.econbiz.de/10013483230
Saved in:
9
Soft splicing model : bridging the gap between composite modeland finite mixture model
Fung, Tsz Chai
;
Jeong, Himchan
;
Tzougas, George
- In:
Scandinavian actuarial journal
2024
(
2024
)
2
,
pp. 168-197
Persistent link: https://www.econbiz.de/10014520104
Saved in:
10
Mixture composite regression models with multi-type feature selection
Fung, Tsz Chai
;
Tzougas, George
;
Wüthrich, Mario V.
- In:
North American actuarial journal : NAAJ ; leading the …
27
(
2023
)
2
,
pp. 396-428
Persistent link: https://www.econbiz.de/10014320645
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