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  • Search: subject:"DD-plot"
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Year of publication
Subject
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DD-plot 4 Alpha-procedure 3 Clusteranalyse 2 Pattern recognition 2 Theorie 2 misclassification rate 2 pattern recognition 2 supervised learning 2 zonoid depth 2 Big Data 1 Big data 1 Classification 1 Cluster analysis 1 Data Mining 1 Data mining 1 Forecasting model 1 Klassifikation 1 Mahalanobis depth function 1 Misclassification rate 1 Mustererkennung 1 Nichtparametrisches Verfahren 1 Prognoseverfahren 1 SVM 1 Supervised learning 1 Support vector machine 1 Theory 1 Zonoid depth 1 big data 1 binary classification 1 churn prediction 1 data depth 1 data nest 1 hybrid methods 1 rare events 1 support vector machines 1
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Online availability
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Free 2 Undetermined 2
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 2 Undetermined 2
Author
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Lange, Tatjana 3 Mosler, Karl 3 Mozharovskyi, Pavlo 3 Dyckerhoff, Rainer 1 Stenz, Hartmut Jakob 1
Institution
All
Seminar für Wirtschafts- und Sozialstatistik, Wirtschafts- und Sozialwissenschaftliche Fakultät 1
Published in...
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Discussion Papers in Econometrics and Statistics 1 Discussion Papers in Statistics and Econometrics 1 International journal of computational economics and econometrics : IJCEE 1 Statistical Papers / Springer 1
Source
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RePEc 2 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 4 of 4
Cover Image
Depth-based support vector classifiers to detect data nests of rare events
Dyckerhoff, Rainer; Stenz, Hartmut Jakob - In: International journal of computational economics and … 11 (2021) 2, pp. 107-142
Persistent link: https://www.econbiz.de/10012507582
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Fast nonparametric classification based on data depth
Lange, Tatjana; Mosler, Karl; Mozharovskyi, Pavlo - 2012
A new procedure, called DD-procedure, is developed to solve the problem of classifying d-dimensional objects into q Ï 2 classes. The procedure is completely nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0, 1]q ....
Persistent link: https://www.econbiz.de/10010311009
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Cover Image
Fast nonparametric classification based on data depth
Lange, Tatjana; Mosler, Karl; Mozharovskyi, Pavlo - Seminar für Wirtschafts- und Sozialstatistik, … - 2012
A new procedure, called DD-procedure, is developed to solve the problem of classifying d-dimensional objects into q Ï 2 classes. The procedure is completely nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0, 1]q ....
Persistent link: https://www.econbiz.de/10010986596
Saved in:
Cover Image
Fast nonparametric classification based on data depth
Lange, Tatjana; Mosler, Karl; Mozharovskyi, Pavlo - In: Statistical Papers 55 (2014) 1, pp. 49-69
A new procedure, called D D α-procedure, is developed to solve the problem of classifying d-dimensional objects into q ≥ 2 classes. The procedure is nonparametric; it uses q-dimensional depth plots and a very efficient algorithm for discrimination analysis in the depth space [0,1]<Superscript> q </Superscript>....</superscript>
Persistent link: https://www.econbiz.de/10010998619
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