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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A needle in a haystack – the future of big data

A research article about how to structure large sums of data effectively

Dr Yang Feng is Associate Professor of Statistics at Columbia University. His research aims to structure, into a useful form, the voluminous data available from many areas of science, humanity, industry and governments, like social networks, the study of the genome, understanding economics or finance and health sciences. Using network modelling, he has focused on novel ways of detecting “communities” more […]

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