By S. Ejaz Ahmed
This quantity conveys the various surprises, puzzles and good fortune tales in high-dimensional and intricate facts research and similar fields. Its peer-reviewed contributions exhibit contemporary advances in variable choice, estimation and prediction options for a number of priceless versions, in addition to crucial new advancements within the field.
The persisted and quick development of contemporary know-how now permits scientists to gather info of more and more extraordinary measurement and complexity. Examples contain epigenomic facts, genomic information, proteomic info, high-resolution photograph information, high-frequency monetary information, useful and longitudinal information, and community facts. Simultaneous variable choice and estimation is without doubt one of the key statistical difficulties concerned about reading such sizeable and complicated data.
the aim of this e-book is to stimulate study and foster interplay among researchers within the region of high-dimensional information research. extra concretely, its ambitions are to: 1) spotlight and extend the breadth of latest tools in great info and high-dimensional information research and their power for the development of either the mathematical and statistical sciences; 2) establish vital instructions for destiny examine within the concept of regularization tools, in algorithmic improvement, and in methodologies for various program parts; and three) facilitate collaboration among theoretical and subject-specific researchers.
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Extra resources for Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed