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Document type:
Buchbeitrag 
Author(s):
Gissibl, N., Klüppelberg, C., and Mager, J. 
Title:
Big data: progress in automating extreme risk analysis 
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 
WWW:
Semester:
SS 17 
TUM Institution:
Lehrstuhl für Mathematische Statistik 
Format:
Text