Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion

DOI10.1214/21-AOAS1517zbMath1498.62179arXiv2010.02994OpenAlexW3182907019WikidataQ117555909 ScholiaQ117555909MaRDI QIDQ2135384

Xiang Ji, Andrew J. Holbrook, Marc A. Suchard

Publication date: 6 May 2022

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

Full work available at URL: https://arxiv.org/abs/2010.02994

zbMATH Keywords

wildfiresself-exciting processesBayesian multidimensional scalinggun violencespatial coarseningviral contagion

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (2)

Hawkes Processes Modeling, Inference, and Control: An Overview ⋮ A Quantum Parallel Markov Chain Monte Carlo

Uses Software

• R
• CODA
• ggplot2
• ggmap
• bmds
• hpHawkes
• MassiveMDS

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