at Google ScholarTitle data
Christmann, Andreas:
An approach to model complex high-dimensional insurance data.
In: Allgemeines Statistisches Archiv.
Vol. 88
(2004)
Issue 4
.
- pp. 375-396.
ISSN 1863-8171
DOI: https://doi.org/10.1007/s101820400178
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Keywords: | high-dimensional data; complex; insurance; support vector machine; kernel logistic regression; kernel based method; regularization; classification; regression; extreme value |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics > Chair Mathematics VII - Stochastics - 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: | 500 Science > 510 Mathematics |
| Date Deposited: | 20 Oct 2015 07:08 |
| Last Modified: | 20 Oct 2015 07:08 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20555 |