Abstract
Bounding is the core of analysis and of probability. This chapter features the elementary inequalities and bounds, such as Markov’s inequality and Jensen’s inequality, the union bound and Chernoff’s bounds. Other important bounds will be given as the need arises.
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© 2017 Springer International Publishing Switzerland
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Brémaud, P. (2017). Bounds and Inequalities. In: Discrete Probability Models and Methods. Probability Theory and Stochastic Modelling, vol 78. Springer, Cham. https://doi.org/10.1007/978-3-319-43476-6_3
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DOI: https://doi.org/10.1007/978-3-319-43476-6_3
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-43475-9
Online ISBN: 978-3-319-43476-6
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