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Approximation of Sums of Locally Dependent Random Variables via Perturbation of Stein Operator
Zhonggen Su, Vladimir V. Ulyanov, Xiaolin Wang · 2022-09-20 · via math.PR updates on arXiv.org

Let $(X_{i}, i\in J)$ be a family of locally dependent nonnegative integer-valued random variables, and consider the sum $W=\sum\nolimits_{i\in J}X_i$. We first establish a general error upper bound for $d_{TV}(W, M)$ using Stein's method, where the target variable $M$ is either the mixture of Poisson distribution and binomial or negative binomial distribution. As applications, we attain $O(|J|^{-1})$ error bounds for ($k_{1},k_{2}$)-runs and $k$-runs under some special cases. Our results are significant improvements of the existing results in literature, say $O(|J|^{-0.5})$ in Peköz [Bernoulli, 19 (2013)] and $O(1)$ in Upadhye, et al. [Bernoulli, 23 (2017)].

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