Kolmogorov bounds for decomposable random variables and subgraph counting by the Stein–Tikhomirov method
Author:
Affiliation:
1. Faculty of Mathematics, Ruhr University Bochum, Germany
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Subject
Statistics and Probability
Reference22 articles.
1. Chen, L.H.Y., Goldstein, L. and Shao, Q.-M. (2011). Normal Approximation by Stein’s Method. Probability and Its Applications (New York). Heidelberg: Springer. 10.1007/978-3-642-15007-4
2. Ross, N. (2011). Fundamentals of Stein’s method. Probab. Surv. 8 210–293. 10.1214/11-PS182
3. Arras, B. and Houdré, C. (2019). On Stein’s Method for Infinitely Divisible Laws with Finite First Moment. SpringerBriefs in Probability and Mathematical Statistics. Cham: Springer. 10.1007/978-3-030-15017-4
4. Arras, B., Mijoule, G., Poly, G. and Swan, Y. (2017). A new approach to the Stein-Tikhomirov method with applications to the second Wiener chaos and Dickman convergence. Version 2. Preprint. Available at arXiv:1605.06819v2.
5. Barbour, A.D., Karoński, M. and Ruciński, A. (1989). A central limit theorem for decomposable random variables with applications to random graphs. J. Combin. Theory Ser. B 47 125–145. 10.1016/0095-8956(89)90014-2
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