Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Statistics for High-Dimensional Data: Methods, Theory and Applications (Springer Series in Statistics)

Peter Bühlmann


Modern facts offers with huge and intricate facts units, and for this reason with versions containing a lot of parameters. This publication provides a close account of lately constructed methods, together with the Lasso and types of it for varied types, boosting equipment, undirected graphical modeling, and tactics controlling fake confident selections.
A certain attribute of the booklet is that it comprises accomplished mathematical idea on high-dimensional information mixed with technique, algorithms and illustrations with actual information examples. This in-depth procedure highlights the equipment’ nice strength and functional applicability in quite a few settings. As such, it's a worthwhile source for researchers, graduate scholars and specialists in facts, utilized arithmetic and machine science.

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