Boulieri, Areti <br/><br/>
A Bayesian mixture modeling approach for public health surveillance.  [electronic resource] 

 -  Biostatistics (Oxford, England)  07 2020 
 - 369-383 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1468-4357 
<br/><br/><label>Standard No.: </label>10.1093/biostatistics/kxy038  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Accidents, Traffic--statistics & numerical data<br/>Bayes Theorem<br/>Computer Simulation<br/>England<br/>Humans<br/>Models, Theoretical<br/>Public Health Surveillance--methods<br/>Spatio-Temporal Analysis