A Bayesian mixture modeling approach for public health surveillance.
Boulieri, Areti
A Bayesian mixture modeling approach for public health surveillance. [electronic resource] - Biostatistics (Oxford, England) 07 2020 - 369-383 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1468-4357
10.1093/biostatistics/kxy038 doi
Accidents, Traffic--statistics & numerical data
Bayes Theorem
Computer Simulation
England
Humans
Models, Theoretical
Public Health Surveillance--methods
Spatio-Temporal Analysis
A Bayesian mixture modeling approach for public health surveillance. [electronic resource] - Biostatistics (Oxford, England) 07 2020 - 369-383 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1468-4357
10.1093/biostatistics/kxy038 doi
Accidents, Traffic--statistics & numerical data
Bayes Theorem
Computer Simulation
England
Humans
Models, Theoretical
Public Health Surveillance--methods
Spatio-Temporal Analysis