What if we do not know correlations?

© 2018, Springer International Publishing AG. It is well know how to estimate the uncertainty of the result y of data processing if we know the correlations between all the inputs. Sometimes, however, we have no information about the correlations. In this case, instead of a single value σ of the sta...

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Main Authors:	Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich
Format:	Book Series
Published:	2018
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038842719&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58589
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-58589
record_format	dspace
spelling	th-cmuir.6653943832-585892018-09-05T04:26:34Z What if we do not know correlations? Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich Computer Science © 2018, Springer International Publishing AG. It is well know how to estimate the uncertainty of the result y of data processing if we know the correlations between all the inputs. Sometimes, however, we have no information about the correlations. In this case, instead of a single value σ of the standard deviation of the result, we get a range [σ̲,σ¯] of possible values. In this paper, we show how to compute this range. 2018-09-05T04:26:34Z 2018-09-05T04:26:34Z 2018-01-01 Book Series 1860949X 2-s2.0-85038842719 10.1007/978-3-319-73150-6_5 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038842719&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58589
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich What if we do not know correlations?
description	© 2018, Springer International Publishing AG. It is well know how to estimate the uncertainty of the result y of data processing if we know the correlations between all the inputs. Sometimes, however, we have no information about the correlations. In this case, instead of a single value σ of the standard deviation of the result, we get a range [σ̲,σ¯] of possible values. In this paper, we show how to compute this range.
format	Book Series
author	Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich
author_facet	Michael Beer Zitong Gong Ingo Neumann Songsak Sriboonchitta Vladik Kreinovich
author_sort	Michael Beer
title	What if we do not know correlations?
title_short	What if we do not know correlations?
title_full	What if we do not know correlations?
title_fullStr	What if we do not know correlations?
title_full_unstemmed	What if we do not know correlations?
title_sort	what if we do not know correlations?
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038842719&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58589
_version_	1681425093651070976

What if we do not know correlations?

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