An integrated toolkit for high-dimensional complex and time series data analysis

high An integrated toolkit for high-dimensional complex and time series data analysis

Big data can be too large and complex for traditional methods and conventional software packages to deal with. Dr Fang Han, Assistant Professor in Statistics at the University of Washington, Seattle, is meeting this challenge head on. He is creating an integrated statistical toolkit comprising robust statistical procedures, including distribution-free inference and rank-based methods, which can be applied to high-dimensional […]

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