Extreme value theory for dependent sequences via the Stein-Chen method of Poisson approximation
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Publication:1113170
DOI10.1016/0304-4149(88)90092-0zbMath0661.60033OpenAlexW1998949846MaRDI QIDQ1113170
Publication date: 1988
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4149(88)90092-0
error estimatesextreme value theorylocal dependenceCompound Poisson limit resultsextreme values in a random sequence
Central limit and other weak theorems (60F05) Stationary stochastic processes (60G10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (7)
Multivariate Poisson and Poisson process approximations with applications to Bernoulli sums and -statistics ⋮ Rate of Poisson approximation of the number of exceedances of nonstationary normal sequences ⋮ Continued fractions, the Chen–Stein method and extreme value theory ⋮ Extreme values for characteristic radii of a Poisson-Voronoi tessellation ⋮ Inequalities for rare events in time-reversible Markov chains. II ⋮ A general study of extremes of stationary tessellations with examples ⋮ Poisson approximation
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- Some Elementary Results on Poisson Approximation in a Sequence of Bernoulli Trials
- Extreme values of non-stationary random sequences
- The rate of convergence of extremes of stationary normal sequences
- Poisson approximation for some statistics based on exchangeable trials
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