Asymptotic goodness-of-fit tests for point processes based on scaled empirical K-functions
DOI10.1080/02331888.2018.1460367zbMath1404.62022arXiv1706.01074OpenAlexW2964019363MaRDI QIDQ4579988
Publication date: 13 August 2018
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1706.01074
functional central limit theoremgeometrical statisticsedge-corrected empirical \(K\)-functionfourth-order Brillinger mixing point processgeneralized \(K\)-functionone- and two-sample tests for point processesscaling rateSkorohod-space \(D[0,R\)]
Inference from spatial processes (62M30) Geometric probability and stochastic geometry (60D05) Functional limit theorems; invariance principles (60F17) Asymptotic properties of parametric tests (62F05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
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