In this Julia Probabilistic Programming tutorial, you'll learn how to analyze data using Bayesian Poisson Regression.
In addition, you'll learn about Multiple Linear Regression and Log Transformations.
As a motivating example, you'll attempt to predict the number of sneezes per day for an individual with allergies based on whether or not pollen is in the air and on whether or not this individual takes their allergy medication.
00:00 Intro
00:44 Set-up
02:46 Data
08:34 Concepts
16:02 Bayesian Poisson Regression Model
19:54 Predictions
26:36 Outro
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# Links for this tutorial
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# data for this tutorial
url = "https://raw.githubusercontent.com/julia4ta/tutorials/master/Series%2009/Files/pollen_meds.csv"
# Code for this tutorial (GitHub)
https://github.com/julia4ta/tutorials/tree/master/Series%2009/Tutorial%2009x06
# Turing.jl Tutorials
https://turinglang.org/dev/tutorials/07-poisson-regression/
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# Links for this series
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# Link to Series 9 Playlist [Julia Probabilistic Programming for Beginners]
https://www.youtube.com/watch?v=zU30QOsShls&list=PLhQ2JMBcfAsgU7kZ-Ee_SDrjhJIehICmR
# Turing.jl Documentation
https://turinglang.org/stable/docs/using-turing/
# Turing.jl (GitHub)
https://github.com/TuringLang/Turing.jl
# Turing.jl Website
https://turinglang.org/stable/
# StatsPlots.jl Documentation
https://docs.juliaplots.org/latest/generated/statsplots/
# StatsPlots.jl (GitHub)
https://github.com/JuliaPlots/StatsPlots.jl
# Distributions.jl Documentation
https://juliastats.org/Distributions.jl/stable/
# Distributions.jl (GitHub)
https://github.com/JuliaStats/Distributions.jl
# The Julia Programming Language
https://julialang.org/
https://docs.julialang.org/en/v1/
https://www.youtube.com/@TheJuliaLanguage
# VS Code
https://code.visualstudio.com/
# Pluto.jl
https://plutojl.org/
https://github.com/fonsp/Pluto.jl
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