Abstract
The chapter presents the entropy method to prove concentration inequalities for functions of independent random variables. After the introduction of a general framework the famous bounded difference inequality, versions of Bernstein’s inequality, and the Gaussian concentration inequality are derived. Applications include vector-valued concentration, random matrices, and the suprema of empirical processes.
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Maurer, A. (2021). Entropy and Concentration. In: De Mari, F., De Vito, E. (eds) Harmonic and Applied Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-86664-8_2
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DOI: https://doi.org/10.1007/978-3-030-86664-8_2
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