High-dimensional datasets arise across disciplines from genomics and neuroimaging to finance and social science. As the number of variables grows, statistical inference and predictive modelling become ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
High-dimensional data have become ubiquitous across genomics, neuroscience, finance and other domains, characterised by a number of variables that can match or exceed the number of observations.
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