Matrices, statistics and big data [Documento eletrónico] : selected contributions from IWMS 2016 / edited by S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen
Language: eng.Country: Switzerland, Swiss Confederation, Cham.Publication: Cham : Springer International Publishing, 2019Description: XII, 190 p. : il.ISBN: 978-3-030-17519-1.Series: Contributions to StatisticsSubject - Topical Name: Statistics | Algebras, Linear | Data mining | Biometry | Probabilities | Computer science -- Mathematics | Mathematical statistics Online Resources:Click here to access online| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 96219 |
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.
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