Event
Bayesian statistics | Spatial data
Workshop series
Computational and Data Systems Initiative
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This workshop will provide an introduction to the analysis of spatially structured data.
It will introduce Spatial Statistics and focus on the analysis of data that vary over a discrete set of indices (areal data) as, for example, the number of registered cases of Covid-19 across the boroughs of Montreal.
At the end of the workshop, participants will have learned how to
ÌýÌýÌýÌý > fit conditional auto-regressive (CAR) models;
ÌýÌýÌýÌý > fit areal level data using CARBayes in R;
ÌýÌýÌýÌý > create disease maps.
Pre-requisites: Knowledge of generalized linear models and R.
Date: Monday, April 11, 2022
Time: 1PM to 3PM
Location: online via Zoom.
Instructors: , Professor of Biostatistics, Department of Epidemiology, Biostatistics and Occupational Health (EBOH) at Ï㽶ÊÓƵ
