Matrices, Statistics and Big Data

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Matrices, Statistics and Big Data

Selected Contributions from IWMS 2016

Algebra Probability and statistics Stochastics Data mining Maths for computer scientists Expert systems / knowledge-based systems

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Collection: Contributions to Statistics

Language: English

Published by: Springer

Published on: 2nd August 2019

Format: LCP-protected ePub

Size: 8 Mb

ISBN: 9783030175191


About the Conference

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.

About the Workshop Series

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.

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