Big and Complex Data Analysis: Methodologies and by S. Ejaz Ahmed

By S. Ejaz Ahmed

This quantity conveys a few of the surprises, puzzles and good fortune tales in high-dimensional and intricate facts research and similar fields. Its peer-reviewed contributions show off contemporary advances in variable choice, estimation and prediction suggestions for a bunch of precious versions, in addition to crucial new advancements within the field.

The endured and swift development of recent expertise now permits scientists to assemble information of more and more exceptional dimension and complexity. Examples comprise epigenomic info, genomic info, proteomic facts, high-resolution photo facts, high-frequency monetary information, sensible and longitudinal information, and community information. Simultaneous variable choice and estimation is likely one of the key statistical difficulties desirous about reading such large and intricate data.

the aim of this publication is to stimulate examine and foster interplay among researchers within the region of high-dimensional facts research. extra concretely, its targets are to: 1) spotlight and extend the breadth of current equipment in vast info and high-dimensional facts research and their strength for the development of either the mathematical and statistical sciences; 2) establish vital instructions for destiny study within the thought of regularization tools, in algorithmic improvement, and in methodologies for various software parts; and three) facilitate collaboration among theoretical and subject-specific researchers.

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