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~subject:"Nonparametric statistics"
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Nonparametric statistics
Theorie
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Fermanian, Jean-David
12
Scaillet, Olivier
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Salanié, Bernard
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ECONIS (ZBW)
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A nonparametric simulated maximum likelihood estimation method
Fermanian, Jean-David
;
Salanié, Bernard
- In:
Econometric theory
20
(
2004
)
4
,
pp. 701-734
Persistent link: https://www.econbiz.de/10002163077
Saved in:
2
Optimal Greek weights by Kernel estimation
Elie, Romuald
;
Fermanian, Jean-David
;
Touzi, Nizar
-
2004
Persistent link: https://www.econbiz.de/10002855875
Saved in:
3
Sensitivity analysis of VaR and expected shortfall for portfolios under netting agreements
Fermanian, Jean-David
;
Scaillet, Olivier
- In:
Journal of banking & finance
29
(
2005
)
4
,
pp. 927-958
Persistent link: https://www.econbiz.de/10002600391
Saved in:
4
Sensitivity analysis of VaR and expected shortfall for portfolios under netting agreements
Fermanian, Jean-David
;
Scaillet, Olivier
-
2003
Persistent link: https://www.econbiz.de/10001807607
Saved in:
5
Sensitivity analysis of var and expected shortfall for portfolios under netting agreements
Fermanian, Jean-David
;
Scaillet, Olivier
-
2003
Persistent link: https://www.econbiz.de/10001812434
Saved in:
6
Sensitivity analysis of VaR expected shortfall for portfolios under netting agreements
Fermanian, Jean-David
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001791460
Saved in:
7
Nonparametric estimation of competing risks models with covariates
Fermanian, Jean-David
-
2001
Persistent link: https://www.econbiz.de/10001577411
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8
A nonparametric simulated maximum likelihood estimation method
Fermanian, Jean-David
;
Salanié, Bernard
-
2001
Persistent link: https://www.econbiz.de/10001577508
Saved in:
9
Nonparametric estimation of copulas for time series
Fermanian, Jean-David
;
Scaillet, Olivier
-
2002
Persistent link: https://www.econbiz.de/10001732499
Saved in:
10
Fair learning with bagging
Fermanian, Jean-David
;
Guégan, Dominique
-
2021
Persistent link: https://www.econbiz.de/10012793716
Saved in:
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