Matrices, Statistics and Big Data

Selected Contributions from IWMS 2016

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Springer


Paru le : 2019-08-02



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Ce volume présente des articles sélectionnés et arbitrés sur divers aspects de la statistique, la théorie des matrices et ses applications à la statistique, ainsi que des sujets connexes de l'algèbre linéaire numérique et des méthodes de résolution numérique, qui sont pertinents pour les problèmes qui se posent en statistique et dans les grandes données. Les contributions ont été initialement présentées au 25e Atelier international sur les matrices et les statistiques (IWMS 2016), tenu à Funchal (Madère), Portugal, du 6 au 9 juin 2016.
La série d'ateliers de l'IWMS réunit des statisticiens, des informaticiens, des spécialistes des données et des mathématiciens, ce qui les aide à mieux comprendre leurs outils respectifs et à favoriser de nouvelles collaborations à l'interface de la théorie des matrices et des statistiques.


Pages
190 pages
Collection
n.c
Parution
2019-08-02
Marque
Springer
EAN papier
9783030175184
EAN PDF
9783030175191

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
3308 Ko
Prix
94,94 €
EAN EPUB
9783030175191

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
8561 Ko
Prix
94,94 €

S. Ejaz Ahmed is a Professor of Statistics and the Dean of the Faculty of Mathematics and Science at the Brock University, Canada. Previously, he was a Professor and the Head of the Mathematics and Statistics Department at the University of Windsor and University of Regina, both in Canada, as well as an Assistant Professor at the University of Western Ontario. He holds various adjunct professorship positions and has supervised numerous Ph.D. and master students. An elected fellow of the American Statistical Association, he has also organized several workshops, conferences and invited sessions. His areas of expertise include big data analysis, statistical inference, and shrinkage estimation. He has authored several books, edited and co-edited a number of volumes and special issues of scientific journals. He has published a total of more than 150 articles in scientific journals and reviewed over 100 books. He served on the Board of Directors of the Statistical Society ofCanada, and was also the Chairman of its Education Committee. Moreover, he was the Vice President of Communications for the International Society for Business and Industrial Statistics (ISBIS) and a member of the “Discovery Grants Evaluation Group” and the “Grant Selection Committee” of the Natural Sciences and Engineering Research Council of Canada (NSERC).

Francisco Carvalho is a Professor of Statistics, Data Analysis and Econometrics, as well as the Director of the Management School at the Polytechnic Institute of Tomar, Portugal. Apart from being a member of organizing committees of several international conferences, he is also a researcher at the CMA – Center of Applied Mathematics at the New University of Lisbon, Portugal. His scientific work primarily focuses on estimation in linear models.

Simo Puntanen is an Emeritus Docent from the University of Tampere, Finland. He is a founding member of the International Workshop on Matrices and Statistics (IWMS) series (with George P. H. Styan), co-author of two Springer books, editor of several books and special issues of international journals, and a member of several journals’ editorial boards. His scientific output chiefly concerns matrix methods and their applications in linear statistical models.

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