Bounded Differences Inequality (aka Azuma-Hoeffding Inequality)
MIT 18.226 Probabilistic Methods in Combinatorics, Fall 2024
Instructor: Yufei Zhao
View the complete course: https://ocw.mit.edu/courses/18-226-probabilistic-methods-in-combinatorics-fall-2022/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61cYB5ymvFiEbIb-wWHfaqO
An important tail bound in probabilistic analysis. A Lipschitz function with independent random inputs is concentrated about its mean. Two applications: (1) coupon collector problem (2) chromatic number of a random graph.
License: Creative Commons BY-NC-SA
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Instructor: Yufei Zhao
View the complete course: https://ocw.mit.edu/courses/18-226-probabilistic-methods-in-combinatorics-fall-2022/
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61cYB5ymvFiEbIb-wWHfaqO
An important tail bound in probabilistic analysis. A Lipschitz function with independent random inputs is concentrated about its mean. Two applications: (1) coupon collector problem (2) chromatic number of a random graph.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
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