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~person:"Badescu, Andrei L."
~subject:"Nonparametric statistics"
~subject:"Theorie"
~subject:"expectation conditional maximization algorithm"
~type_genre:"Aufsatz in Zeitschrift"
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Nonparametric statistics
Theorie
expectation conditional maximization algorithm
Experten
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Experts
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Claim frequency and severity modeling
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Aufsatz in Zeitschrift
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Badescu, Andrei L.
Franses, Philip Hans
5
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4
Stewart, Colin
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Lin, X. Sheldon
3
Najjar, Nabil I. al-
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Wolinsky, Asher
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Cooke, Roger M.
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Astin bulletin : the journal of the International Actuarial Association
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Insurance / Mathematics & economics
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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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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:
2
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
Saved in:
3
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
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