KnowraMarkov's inequalityLinked fromLinked fromThe 14 pages that link to Markov's inequality, each with the reason it gives.All 14Broader topic 2Related 11Compared with 1Jensen's inequalityRelated: Applying Jensen to an exponential moment helps derive exponential probability bounds.Convergence in probabilityRelated: It turns vanishing expected error measures into bounds on large-error probabilities.Probabilistic methodRelated: It converts an expectation bound into a probability bound on undesirable outcomes.Uniform integrabilityRelated: It converts integral bounds into control of the measure of large-value sets.Chebyshev's inequalityRelated: Applying it to squared deviations from the mean gives Chebyshev's bound.Chernoff boundRelated: Applying it to an exponential transform produces the Chernoff bound.Andrey MarkovRelated: This separate probability result also carries Markov’s name and reflects his broader mathematical work.Upper boundRelated: It bounds tail probabilities using only a variable's expectation.Kolmogorov continuity theoremRelated: Moment estimates become tail bounds through Markov’s inequality.Kolmogorov's inequalityRelated: A second-moment argument applies this inequality after isolating the first crossing.Popoviciu's inequalityRelated: Applied to squared deviations, it converts the variance bound into a tail bound.