Matrices, Statistics and Big Data - Selected Contributions from IWMS 2016 (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Contributions to Statistics
Release date:	August 2020
First published:	2019
Editors:	S. Ejaz Ahmed • Francisco Carvalho • Simo Puntanen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	190
Edition:	1st ed. 2019
ISBN-13:	978-3-03-017521-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-017521-9
Barcode:	9783030175214

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