Lower Bounds for the Total Variation Distance Given Means and Variances of Distributions
Abstract
For arbitrary two probability measures on real d-space with given means and variances (covariance matrices), we provide lower bounds for their total variation distance. In the one-dimensional case, a tight bound is given.
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