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In this paper, we derive new probability bounds for Chebyshev's inequality ifthe supremum of the probability density function is known. This result holdsfor one-dimensional or multivariate continuous probability distributions withfinite mean and variance (covariance matrix). We also show that the similarresult holds for specific discrete probability distributions.

Improved Chebyshev inequality: new probability bounds with known supremum of PDF