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On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data

Title data

Christmann, Andreas:
On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data.
In: Acta Mathematicae Applicatae Sinica. Vol. 21 (2005) Issue 2 . - pp. 193-208.
ISSN 1618-3932
DOI: https://doi.org/10.1007/s10255-005-0229-8

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
SFB 475: Komplexitätsreduktion in multivariaten Datenstrukturen
5481508
Project financing: Deutsche Forschungsgemeinschaft
Forschungsband DoMuS, University of Dortmund

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: data mining; kernel logistic regression; robustness; statistical machine learning; support vector regression
Subject classification: 62G08; 62G35; 62G32
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics and Machine Learning
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics and Machine Learning > Chair Mathematics VII - Stochastics and mashine learning - Univ.-Prof. Dr. Andreas Christmann
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Result of work at the UBT: No
DDC Subjects: 300 Social sciences > 310 Statistics
500 Science > 510 Mathematics
Date Deposited: 20 Oct 2015 07:11
Last Modified: 13 Aug 2025 13:31
URI: https://eref.uni-bayreuth.de/id/eprint/20556