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Explore statistical methodology and theory in this comprehensive lecture by Professor Richard Samworth from the University of Cambridge. Delve into high-dimensional and nonparametric statistical inference, focusing on techniques for handling Big Data challenges. Learn about random projection ensembles for high-dimensional classification, subsampling for variable selection, and shape-constrained nonparametric function estimation. Discover insights on Independent Component Analysis and various bootstrap methods, including bagging. Gain valuable knowledge from a renowned expert in the field, as Professor Samworth shares his research interests and current work in statistical challenges related to data perturbation and aggregation.
