Information criteria for inhomogeneous spatial point processes

DOI10.1111/anzs.12327zbMath1521.62179arXiv2003.03880OpenAlexW3162628188MaRDI QIDQ6075103

Rasmus Waagepetersen, Jean-François Coeurjolly, Achmad Choiruddin

Publication date: 20 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.03880

zbMATH Keywords

model selectionBayesian information criterionAkaike's information criterioncomposite likelihoodintensity functioninhomogeneous point processcomposite information criterion

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Non-Markovian processes: estimation (62M09) Statistical aspects of information-theoretic topics (62B10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes ⋮ A Festschrift for Adrian Baddeley ⋮ Adaptive Lasso and Dantzig selector for spatial point processes intensity estimation ⋮ Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion ⋮ Data-driven chimney fire risk prediction using machine learning and point process tools

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