
arXiv: 1611.03009
We are interested in the estimation of the distance in total variation $$ Δ:= \|P_{f(X)} - P_{g(X)}\|_{\mathrm var} $$ between distributions of random variables $f(X)$ and $g(X)$ in terms of proximity of $f$ and $g.$ We propose a simple general method of estimating $Δ$. For Gaussian and trigonometrical polynomials it gives an asymptotically optimal result (when the degree tends to $\infty$).
13 pages
total variation distance, 60E05 (Primary), 60E15, 60A10 (Secondary), Probability (math.PR), Gaussian polynomials, Nikol'ski-Besov class, FOS: Mathematics, Inequalities; stochastic orderings, Probability distributions: general theory, Probabilistic measure theory, Mathematics - Probability, image-measures
total variation distance, 60E05 (Primary), 60E15, 60A10 (Secondary), Probability (math.PR), Gaussian polynomials, Nikol'ski-Besov class, FOS: Mathematics, Inequalities; stochastic orderings, Probability distributions: general theory, Probabilistic measure theory, Mathematics - Probability, image-measures
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