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- Title:
Big data: progress in automating extreme risk analysis
- Document type:
- Buchbeitrag
- Author(s):
- Gissibl, N., Klüppelberg, C., and Mager, J.
- Pages contribution:
- 171-189
- Abstract:
- Big data can be a curse and a blessing for the statistician. We report in this paper about some positive effect of big data: big data may open the way for more reliable risk analysis, simply because more extreme data are available. However, big data also require a fully automated analysis. We present here a method, which can easily be implemented and used for large numbers of statistical attributes. We apply this method to safety issues at the landing of airplanes.
- Dewey Decimal Classification:
- 510 Mathematik
- Editor:
- Pietsch, W., Wernecke, J. and Ott, M.
- Book title:
- Berechenbarkeit der Welt?
- Book subtitle:
- Philosophie und Wissenschaft im Zeitalter von Big Data
- Publisher:
- Springer VS
- Publisher address:
- Wiesbaden
- Date of publication:
- 01.06.2017
- Year:
- 2017
- Quarter:
- 2. Quartal
- Year / month:
- 2017-06
- Month:
- Jun
- Pages:
- 171-189
- Print-ISBN:
- 978-3-658-12152-5
- E-ISBN:
- 978-3-658-12153-2
- Language:
- en
- DOI:
- doi:10.1007/978-3-658-12153-2
- WWW:
- Springer
- Semester:
- SS 17
- TUM Institution:
- Lehrstuhl für Mathematische Statistik
- Format:
- Text
BibTeX