By S. Ejaz Ahmed
This quantity conveys a number of the surprises, puzzles and good fortune tales in high-dimensional and complicated info research and comparable fields. Its peer-reviewed contributions exhibit fresh advances in variable choice, estimation and prediction recommendations for a number of beneficial versions, in addition to crucial new advancements within the field.
The persevered and speedy development of recent expertise now permits scientists to gather information of more and more exceptional measurement and complexity. Examples contain epigenomic info, genomic info, proteomic facts, high-resolution picture information, high-frequency monetary info, useful and longitudinal information, and community info. Simultaneous variable choice and estimation is without doubt one of the key statistical difficulties concerned about examining such mammoth and intricate data.
the aim of this ebook is to stimulate study and foster interplay among researchers within the region of high-dimensional facts research. extra concretely, its objectives are to: 1) spotlight and extend the breadth of current equipment in massive information and high-dimensional facts research and their capability for the development of either the mathematical and statistical sciences; 2) determine vital instructions for destiny examine within the idea of regularization equipment, in algorithmic improvement, and in methodologies for various software components; 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