Going off grid: computationally efficient inference for log-Gaussian Cox processes

DOI10.1093/biomet/asv064zbMath1452.62704arXiv1111.0641OpenAlexW1818484123WikidataQ57266346 ScholiaQ57266346MaRDI QIDQ2797331

Håvard Rue, Janine B. Illian, Sigrunn H. Sørbye, Finn Lindgren, Daniel P. Simpson

Publication date: 5 April 2016

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1111.0641

zbMATH Keywords

stochastic partial differential equationspatial point processGaussian Markov random fieldintegrated nested Laplace approximationapproximation of Gaussian random fields

Mathematics Subject Classification ID

Random fields (60G60) Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Gaussian processes (60G15) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

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