Adaptive estimating function inference for nonstationary determinantal point processes

DOI10.1111/sjos.12440zbMath1467.62157arXiv1806.06231OpenAlexW2997279154WikidataQ126435835 ScholiaQ126435835MaRDI QIDQ4994806

Frédéric Lavancier, Arnaud Poinas, Rasmus Waagepetersen

Publication date: 22 June 2021

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.06231

zbMATH Keywords

asymptotic normalitynonstationaryestimating functionsdeterminantal point processesrepulsivejoint intensities

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

On simulation of continuous determinantal point processes ⋮ Asymptotic approximation of the likelihood of stationary determinantal point processes ⋮ Information criteria for inhomogeneous spatial point processes ⋮ Structured space-sphere point processes and \(K\)-functions ⋮ Determinantal Point Processes for Image Processing

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