Project for the Bayesian Statistics exam at University of Trieste
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Updated
Jun 20, 2019 - HTML
Project for the Bayesian Statistics exam at University of Trieste
Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.
A single-page web application to provide you a zoomed-out view of your life and its ultimate deadline - Death!
Applied Demography Toolbox
R package - Computing mortality rates from tobacco and alcohol related causes. This is a mirror of the code in the private Gitlab repository
Calculate bayes factors for various hypotheses about extent of slowdown
Farid FLICI personal webpage
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