Functional and Operatorial Statistics

An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated...

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Detalles Bibliográficos
Autores principales: Dabo-niang, Sophie, Ferraty, Frédéric
Lenguaje:eng
Publicado: Springer 2008
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-7908-2062-1
http://cds.cern.ch/record/1338179
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author Dabo-niang, Sophie
Ferraty, Frédéric
author_facet Dabo-niang, Sophie
Ferraty, Frédéric
author_sort Dabo-niang, Sophie
collection CERN
description An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curv
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
publisher Springer
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spelling cern-13381792021-04-22T01:07:11Zdoi:10.1007/978-3-7908-2062-1http://cds.cern.ch/record/1338179engDabo-niang, SophieFerraty, FrédéricFunctional and Operatorial StatisticsMathematical Physics and MathematicsAn increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curvSpringeroai:cds.cern.ch:13381792008
spellingShingle Mathematical Physics and Mathematics
Dabo-niang, Sophie
Ferraty, Frédéric
Functional and Operatorial Statistics
title Functional and Operatorial Statistics
title_full Functional and Operatorial Statistics
title_fullStr Functional and Operatorial Statistics
title_full_unstemmed Functional and Operatorial Statistics
title_short Functional and Operatorial Statistics
title_sort functional and operatorial statistics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-7908-2062-1
http://cds.cern.ch/record/1338179
work_keys_str_mv AT daboniangsophie functionalandoperatorialstatistics
AT ferratyfrederic functionalandoperatorialstatistics

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