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Statistical Methodology and Theory : Professor Richard Samworth, Cambridge
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Statistical Methodology and Theory with Richard Samworth (University of Cambridge, Turing Faculty Fellow)
Richard Samworth is Professor of Statistics in the Statistical Laboratory at the University of Cambridge and a Fellow of St John’s College. He received his PhD, also from the University of Cambridge, in 2004, and currently holds an EPSRC Early Career Fellowship.
Research
His main research interests are in developing methodology and theory for high-dimensional and nonparametric statistical inference. He is currently particularly interested in techniques for handling statistical challenges in Big Data that rely on perturbations of the data and aggregation. Examples include random projection ensembles for high-dimensional classification and subsampling for variable selection. Other interests include shape-constrained and other nonparametric function estimation problems, Independent Component Analysis, and the bootstrap and its variants (e.g. bagging).
#datascienceclasses
Richard Samworth is Professor of Statistics in the Statistical Laboratory at the University of Cambridge and a Fellow of St John’s College. He received his PhD, also from the University of Cambridge, in 2004, and currently holds an EPSRC Early Career Fellowship.
Research
His main research interests are in developing methodology and theory for high-dimensional and nonparametric statistical inference. He is currently particularly interested in techniques for handling statistical challenges in Big Data that rely on perturbations of the data and aggregation. Examples include random projection ensembles for high-dimensional classification and subsampling for variable selection. Other interests include shape-constrained and other nonparametric function estimation problems, Independent Component Analysis, and the bootstrap and its variants (e.g. bagging).
#datascienceclasses
Statistical Methodology and Theory : Professor Richard Samworth, Cambridge
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