Stein’s method, Gaussian processes and Palm measures, with applications to queueing
Author:
Affiliation:
1. Institut für Mathematik, Universität Zürich
2. School of Mathematics and Statistics, University of Melbourne
3. Department of Mathematical Sciences, University of Liverpool
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference39 articles.
1. Arratia, R., Goldstein, L. and Gordon, L. (1989). Two moments suffice for Poisson approximations: The Chen–Stein method. Ann. Probab. 17 9–25.
2. Dvoretzky, A., Kiefer, J. and Wolfowitz, J. (1956). Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator. Ann. Math. Stat. 27 642–669.
3. MASSART, P. (1990). The tight constant in the Dvoretzky–Kiefer–Wolfowitz inequality. Ann. Probab. 18 1269–1283.
4. PANG, G., TALREJA, R. and WHITT, W. (2007). Martingale proofs of many-server heavy-traffic limits for Markovian queues. Probab. Surv. 4 193–267.
5. BARBOUR, A. D. (1988). Stein’s method and Poisson process convergence. J. Appl. Probab. 25A 175–184. Special Vol., A celebration of applied probability.
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