Bounding Hellinger Distance with Stein's Method

Abstract: This work introduces a new, explicit bound on the Hellinger distance between a continuous random variable and a Gaussian with matching mean and variance. As example applications, we derive a quantitative Hellinger central limit theorem and efficient concentration inequalities for sums of dependent random variables.