- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Ludwig-Maximilians-Universität, Dissertation, 2016
- Klassifikation
-
Mathematik
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der Ludwig-Maximilians-Universität
- (wann)
-
2016
- Urheber
-
Brockhaus, Sarah
- Beteiligte Personen und Organisationen
-
Greven, Sonja
- URN
-
urn:nbn:de:bvb:19-198685
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Brockhaus, Sarah
- Greven, Sonja
- Universitätsbibliothek der Ludwig-Maximilians-Universität
Entstanden
- 2016
Ähnliche Objekte (12)
Boosting ridge regression
Boosting distributional copula regression
Addressing bias in bagging and boosting regression models
Boosting in nonparametric regression : constrained and unconstrained modeling approaches
Boosting Poisson regression models with telematics car driving data
Advances in statistical boosting algorithms : new approaches to robust regression
Boosting in structured additive models
Boosting in structured additive models
Gradient boosting for extreme quantile regression
Mixed models based on likelihood boosting
Testing model assumptions in functional regression models
Advances in boosting of temporal and spatial models
Boosting ridge regression
Boosting distributional copula regression
Addressing bias in bagging and boosting regression models
Boosting in nonparametric regression : constrained and unconstrained modeling approaches
Boosting Poisson regression models with telematics car driving data
Advances in statistical boosting algorithms : new approaches to robust regression
Boosting in structured additive models
Boosting in structured additive models
Gradient boosting for extreme quantile regression
Mixed models based on likelihood boosting
Testing model assumptions in functional regression models
Advances in boosting of temporal and spatial models
Boosting ridge regression
Boosting distributional copula regression
Addressing bias in bagging and boosting regression models
Boosting in nonparametric regression : constrained and unconstrained modeling approaches
Boosting Poisson regression models with telematics car driving data
Advances in statistical boosting algorithms : new approaches to robust regression
Boosting in structured additive models
Boosting in structured additive models
Gradient boosting for extreme quantile regression
Mixed models based on likelihood boosting
Testing model assumptions in functional regression models