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~language:"eng"
~language:"zho"
~person:"Verbelen, Roel"
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Estimation theory
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Expectation-maximization algorithm
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Maximum likelihood
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Mixture of Erlang distributions with a common scale parameter
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Multivariate mixtures of Erlangs with a common scale parameter
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Verbelen, Roel
Croux, Christophe
36
Demeulemeester, Erik
35
Leus, Roel
31
Spieksma, Frits C. R.
28
Claeskens, Gerda
25
Baesens, Bart
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Lambrecht, Marc R.
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Talla Nobibon, Fabrice
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Vandebroek, Martina
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Van Nieuwenhuyse, Inneke
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Claeskens, G.
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Cardoen, Brecht
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Defraeye, Mieke
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Wilms, I.
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Colen, Pieter
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De Bruecker, Philippe
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Woeginger, Gerhard J.
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Antonio, Katrien
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Belie͏̈n, Jeroen
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ECONIS (ZBW)
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Fitting mixtures of Erlangs to censored and truncated data using the EM algorithm
Antonio, Katrien
;
Badescu, Andrei
;
Gong, Lan
;
Lin, Sheldon
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2014
Persistent link: https://www.econbiz.de/10010238293
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2
Fitting mixtures of Erlangs to uncensored and untruncated data using the EM algorithm : addendum
Verbelen, Roel
-
2013
Persistent link: https://www.econbiz.de/10010238513
Saved in:
3
Unraveling the predictive power of telematics data in car insurance pricing
Verbelen, Roel
;
Antonio, Katrien
;
Claeskens, Gerda
-
2018
Persistent link: https://www.econbiz.de/10012049439
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4
Multivariate mixtures of Erlangs for density estimation under censoring and truncation : additional examples
Verbelen, Roel
;
Antonio, Katrien
;
Claeskens, Gerda
-
2015
Persistent link: https://www.econbiz.de/10011290638
Saved in:
5
Multivariate mixtures of Erlangs for density estimation under censoring and truncation
Verbelen, Roel
;
Antonio, Katrien
;
Claeskens, Gerda
-
2014
Persistent link: https://www.econbiz.de/10010485676
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