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21
R robustified additive nonparametric regression
Tamine, Julien
;
Härdle, Wolfgang
;
Yang, Lijian
-
2002
asymptotic distribution, we also obtain
robustness
results for our estimator. All of our results are valid for a broad class of ß …
Persistent link: https://www.econbiz.de/10010310510
Saved in:
22
R robustified additive nonparametric regression
Tamine, Julien
;
Härdle, Wolfgang
;
Yang, Lijian
-
Sonderforschungsbereich 373, Quantifikation und …
-
2002
asymptotic distribution, we also obtain
robustness
results for our estimator. All of our results are valid for a broad class of ß …
Persistent link: https://www.econbiz.de/10010983510
Saved in:
23
Support vector machines with evolutionary feature selection for default prediction
Härdle, Wolfgang Karl
;
Prastyo, Dedy Dwi
;
Hafner, Christian
-
2012
banks in order to measure their client's degree of risk, and for firms to operate successfully. The
SVM
with evolutionary … and probit models as benchmark On overall, GA-
SVM
is outperforms compared to the benchmark models in both training and …
Persistent link: https://www.econbiz.de/10010318756
Saved in:
24
Forecasting corporate distress in the Asian and Pacific region
Moro, Russ
;
Härdle, Wolfgang Karl
;
Aliakbari, Saeideh
; …
-
2011
Support Vector Machine (
SVM
) and a logistic regression (Logit). Among different financial ratios suggested as predictors of … accuracy the
SVM
has a lower model risk than the Logit on average and displays a more robust performance. This result holds …
Persistent link: https://www.econbiz.de/10010281539
Saved in:
25
Einsatzpotential von Support Vector Machines (
SVM
)-Klassifikation für Scoring-Fragestellungen im Database Marketing : empirische Untersuchung am Beispiel der Kündigungsprognose von...
Zimmermann, Martin
-
2008
Persistent link: https://www.econbiz.de/10003772630
Saved in:
26
Der Einsatz von Support Vector Machines zur Kreditwürdigkeitsbeurteilung von Unternehmen
Trustorff, Jan-Henning
-
2010
Persistent link: https://www.econbiz.de/10003971627
Saved in:
27
Estimating and forecasting APARCH-Skew-t model by wavelet support vector machines
Li, Yushu
- In:
Journal of forecasting
33
(
2014
)
4
,
pp. 259-269
Persistent link: https://www.econbiz.de/10010425754
Saved in:
28
Applications of intelligent systems for news analytics in finance
Božić, Časlav
-
2013
Persistent link: https://www.econbiz.de/10009684735
Saved in:
29
Bio-inspired credit risk analysis : computational intelligence with support vector machines
Yu, Lean
;
Wang, Shouyang
;
Lai, Kin Keung
;
Zhou, Ligang
-
2008
Persistent link: https://www.econbiz.de/10003722069
Saved in:
30
Forecasting stock index returns using ARIMA-
SVM
, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish
;
Thenmozhi, M.
- In:
International journal of banking, accounting and finance
5
(
2013/2014
)
3
,
pp. 284-308
Persistent link: https://www.econbiz.de/10011474500
Saved in:
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