Concentration inequalities have been recognized as fundamental
tools in several domains such as geometry of Banach spaces or
random combinatorics. They also turn to be essential tools to
develop a non asymptotic theory in statistics. This volume provides
an overview of a non asymptotic theory for model selection. It also
discusses some selected applications to variable selection, change
points detection and statistical learning.
General
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