Absolute regularity and Brillinger-mixing of stationary point processes
DOI10.1007/s10986-013-9209-5zbMath1291.60100OpenAlexW1967441220MaRDI QIDQ383672
Lothar Heinrich, Zbyněk Pawlas
Publication date: 5 December 2013
Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)
Full work available at URL: https://opus.bibliothek.uni-augsburg.de/opus4/files/2207/mpreprint_13_002.pdf
point process\(\beta\)-mixing coefficientBrillinger-mixingfactorial cumulant measurehigher-order covariance measure
Geometric probability and stochastic geometry (60D05) Central limit and other weak theorems (60F05) Ergodicity, mixing, rates of mixing (37A25) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (7)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Central limit theorems for point processes
- Factorization of the characteristic function of a sum of dependent random variables
- Normal approximation for some mean-value estimates of absolutely regular tessellations
- Central limit theorem for the integrated squared error of the empirical second-order product density and goodness-of-fit tests for stationary point processes
- On a Method of Calculation of Semi-Invariants
- Some Limit Theorems for Random Functions. I
- On One of Matérn's Hard-core Point Process Models
- Normal convergence of multidimensional shot noise and rates of this convergence
- Limiting behavior of U-statistics for stationary, absolutely regular processes
- Central limit theorem for a class of random measures associated with germ-grain models
- An Introduction to the Theory of Point Processes
- Asymptotic Methods in Statistics of Random Point Processes
- Ergodizitätseigenschaften rekurrenter Ereignisse. II
- An Introduction to the Theory of Point Processes
This page was built for publication: Absolute regularity and Brillinger-mixing of stationary point processes