A nonparametric estimator for pairwise-interaction point processes
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Publication:3773076
DOI10.1093/biomet/74.4.763zbMath0634.62037OpenAlexW2066777487MaRDI QIDQ3773076
D. J. Gates, Alyson Stibbard, Peter J. Diggle
Publication date: 1987
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/74.4.763
smoothingsimulation studyFourier methodspatial point patternspatial point patternsPercus-Yevick approximationapproximation of interactionPairwise interaction point processes
Nonparametric estimation (62G05) Inference from stochastic processes (62M99) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (10)
Area-interaction point processes ⋮ Bayesian modeling on continuously marked spatial point patterns ⋮ Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion ⋮ On estimating the structure factor of a point process, with applications to hyperuniformity ⋮ On a nonparametric resampling scheme for Markov random fields ⋮ Uniform LAN condition of planar Gibbsian point processes and optimality of maximum likelihood estimators of soft-core potential functions ⋮ Bayesian inference for spatially inhomogeneous pairwise interacting point processes ⋮ A nonparametric index for determining the numbers of events in clusters ⋮ Mixture formulae for shot noise weighted point processes ⋮ Asymptotic Properties of Takacs-Fiksel Estimation Method for GIBBS Point Processes
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