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Uniform Cramér moderate deviations and Berry-Esseen bounds for a supercritical branching process in a random environment |
Xiequan FAN1(), Haijuan HU2, Quansheng LIU3,4 |
1. Center for Applied Mathematics, Tianjin University, Tianjin 300072, China 2. School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China 3. Université de Bretagne-Sud, LMBA, UMR CNRS 6205, Campus de Tohannic, 56017 Vannes, France 4. School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China |
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Abstract Let be a supercritical branching process in an independent and identically distributed random environment. We prove Cramér moderate deviations and Berry-Esseen bounds for log() uniformly in ,which extend the corresponding results by I. Grama, Q. Liu, and M. Miqueu [Stochastic Process. Appl., 2017, 127: 1255–1281] established for . The extension is interesting in theory, and is motivated by applications. A new method is developed for the proofs; some conditions of Grama et al. are relaxed in our present setting. An example of application is given in constructing confidence intervals to estimate the criticality parameter in terms of log() and n.
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Keywords
Branching processes
random environment
Cramér moderate deviations
Berry-Esseen bounds
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Corresponding Author(s):
Xiequan FAN
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Issue Date: 19 November 2020
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