Mathematician uncovers methods to shrink sampling errors in large-dimensional data sets

A professor in Florida State University’s Department of Mathematics has made a breakthrough that will allow scientists across academic disciplines and financial institutions to shrink sampling errors concerning high-dimensional financial data.

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