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Matrices, Statistics and Big Data

Matrices, Statistics and Big Data

Selected Contributions from IWMS 2016

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This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016.

The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.


Informations bibliographiques

août 2019, 190 pages, Contributions to Statistics, Anglais
Springer Nature EN
978-3-030-17518-4

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