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EEG data, fractal dimension and multivariate statistics
Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Karolinska Hospital Huddinge, Stockholm, Sweden..
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland..
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland..
Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw..
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2010 (English)In: Journal of Computer Science and Engineering, ISSN 2043-9091, Vol. 3, no 1, 10-16 p.Article in journal (Refereed) Published
Abstract [en]

The objective of this paper is to discuss the concept of Inverse Problem, i.e. how to obtain information via data about a complex mathematical model. We propose that by merging ideas from applied mathematics with ideas from multivariate statistical inference it is possible to find solutions or good approximation of many complex scientific problems.

Place, publisher, year, edition, pages
2010. Vol. 3, no 1, 10-16 p.
Keyword [en]
Terms—Inverse problem, fractal dimension, complex model, multivariate statistics, Growth Curve model, GMANOVA
National Category
Computational Mathematics Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:su:diva-49348OAI: oai:DiVA.org:su-49348DiVA: diva2:377271
Available from: 2010-12-14 Created: 2010-12-14 Last updated: 2010-12-14Bibliographically approved

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http://sites.google.com/site/jcseuk/volume-3-issue-1-september-2010

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von Rosen, Tatjana
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