首页> The annals of applied statistics> BAYESIAN MITIGATION OF SPATIAL COARSENING FOR A HAWKES MODEL APPLIED TO GUNFIRE, WILDFIRE AND VIRAL CONTAGION.

BAYESIAN MITIGATION OF SPATIAL COARSENING FOR A HAWKES MODEL APPLIED TO GUNFIRE, WILDFIRE AND VIRAL CONTAGION.

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第一作者： Andrew J,Holbrook

第一单位： Department of Biostatistics, UCLA.

作者： Andrew J,Holbrook ^[1] ; Xiang,Ji ^[2] ; Marc A,Suchard ^[3]

作者单位： Department of Biostatistics, UCLA. ^[1] Department of Mathematics, Tulane University. ^[2] Departments of Biostatistics, Human Genetics and Computational Medicine, UCLA. ^[3]

关键词 Bayesian multidimensional scaling gun violence self-exciting processes spatial coarsening viral contagion wildfires

DOI 10.1214/21-aoas1517

PMID 36211254

发布时间 2024-09-05

基金项目

K25 AI153816/AI/NIAID NIH HHS/United States R01 AI153044/AI/NIAID NIH HHS/United States U19 AI135995/AI/NIAID NIH HHS/United States

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The annals of applied statistics

2022年16卷1期

573-595页

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The annals of applied statistics

2022年16卷1期

573-595页

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BAYESIAN MITIGATION OF SPATIAL COARSENING FOR A HAWKES MODEL APPLIED TO GUNFIRE, WILDFIRE AND VIRAL CONTAGION.

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BAYESIAN MITIGATION OF SPATIAL COARSENING FOR A HAWKES MODEL APPLIED TO GUNFIRE, WILDFIRE AND VIRAL CONTAGION.

The annals of applied statistics

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