at Google ScholarTitle data
Christmann, Andreas ; Salibián-Barrera, Matías ; van Aelst, Stefan:
Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods.
In:
Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013, Hong Kong, China. -
The Hague, The Netherlands
: International Statistical Institute
,
2013
. - pp. 1802-1807
ISBN 978-90-73592-34-6
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| 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: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 310 Statistics 500 Science > 510 Mathematics |
| Date Deposited: | 29 Oct 2015 09:07 |
| Last Modified: | 07 Aug 2023 13:11 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20860 |