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accessRights:"free"
~accessRights:"restricted"
~language:"eng"
~person:"Yang, Zhisen"
~subject:"Bayes-Statistik"
~subject:"Unemployment insurance"
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Bayes-Statistik
Unemployment insurance
Bayesian inference
2
Bayesian network
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Dauer
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Duration
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Duration analysis
2
Duration of detention
2
Maritime safety
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Statistische Bestandsanalyse
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Duration prediction
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Forecasting model
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ITAN learning
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Künstliche Intelligenz
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Yang, Zhisen
Horny, Guillaume
4
Lalive, Rafael
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Mendes, Rute
4
Yao, Fang
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van den Berg, Gerard J.
3
Ahmad, Nisar
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Arni, Patrick
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Arni, Patrick P.
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Bieszk-Stolorz, Beata
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Henningsen, Morten
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Lo, Simon M. S.
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Nagler, Paula
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Ours, Jan C. van
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Paserman, Marco Daniele
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Svarer, Michael
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Vannucci, Marina
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Wan, Chengpeng
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Wilke, Ralf A.
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Yang, Zaili
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Yu, Qing
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van Ours, Jan C.
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Arntz, Melanie
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Berg, Gerard J. van den
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Brownlees, Christian
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Men, Zhongxian
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Paserman, M. Daniele
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Rousselière, Damien
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Transportation research / E : an international journal
1
Transportation research : an international journal
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ECONIS (ZBW)
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A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Yang, Zhisen
;
Yu, Qing
;
Yang, Zaili
;
Wan, Chengpeng
- In:
Transportation research : an international journal
181
(
2024
),
pp. 1-26
Persistent link: https://www.econbiz.de/10014462570
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2
A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection
Yang, Zhisen
;
Wan, Chengpeng
;
Yu, Qing
;
Yin, Jingbo
; …
- In:
Transportation research / E : an international journal
180
(
2023
),
pp. 1-25
Persistent link: https://www.econbiz.de/10014461252
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