Big and Complex Data Analysis: Methodologies and Applications
S. Ejaz Ahmed (Ed.)
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Description for Big and Complex Data Analysis: Methodologies and Applications
Hardback. Editor(s): Ahmed, S. Ejaz. Series: Contributions to Statistics. Num Pages: 385 pages, 21 black & white illustrations, 54 colour illustrations, 56 colour tables, biography. BIC Classification: UFM; UNC; UNF. Category: (G) General (US: Trade). Dimension: 235 x 155. .
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of ... Read more
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG
Condition
New
Series
Contributions to Statistics
Number of Pages
386
Place of Publication
Cham, Switzerland
ISBN
9783319415727
SKU
V9783319415727
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About S. Ejaz Ahmed (Ed.)
Dr. S. Ejaz Ahmed is Dean of the Faculty of Mathematics and Science and a Professor of Statistics at Brock University. Before joining Brock, he was a professor and head of the Mathematics & Statistics Department at the University of Windsor and University of Regina. Prior to that, he was an assistant professor at the University of Western Ontario. He ... Read more
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