Data-driven chimney fire risk prediction using machine learning and point process tools

DOI10.1214/23-aoas1752arXiv2112.07257OpenAlexW4388076507MaRDI QIDQ6138624

Changqing Lu, Marie-Colette N. M. van Lieshout, Paul Visscher, Maurits de Graaf

Publication date: 16 January 2024

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2112.07257

zbMATH Keywords

Poisson point processpair correlation functionvariable importance\(K\)-functionfire predictionlogistic regression estimationspatiotemporal point pattern

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

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