Podcast #128: We chat with Kent C Dodds about why he loves React and discuss what life was like in the dark days before Git. Listen now.
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Probability Inequalities are useful for bounding quantities that might otherwise be hard to compute. A related concept is a concentration inequality, which specifically provides bounds on how far a random variable deviates from some value.

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Is there an analogue to the higher moment Chebyshev's inequalities in the one sided case? The Chebyshev-Cantelli inequality only seem to work for the variance, whereas Chebyshevs' inequality can easi …
asked Nov 29 '11 by Andreas Mueller