Point process modeling of drug overdoses with heterogeneous and missing data

DOI10.1214/20-AOAS1384zbMath1475.62261arXiv2010.06080OpenAlexW3139284930MaRDI QIDQ2233140

Jeremy Carter, Xueying Liu, Brad Ray, George O. Mohler

Publication date: 14 October 2021

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

Full work available at URL: https://arxiv.org/abs/2010.06080

zbMATH Keywords

point processexpectation maximization algorithmnonnegative matrix factorizationsemisupervised learningopioid overdose

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Missing data (62D10)

Uses Software

• SEKS-GUI

Cites Work

• Modeling and estimation of multi-source clustering in crime and security data
• Estimation of Space–Time Branching Process Models in Seismology Using an EM–Type Algorithm
• Stochastic Declustering of Space-Time Earthquake Occurrences
• Self-Exciting Point Process Modeling of Crime

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