Bayesian Stuff

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 Hey guys,

This page is going to give you the assignments that I made for a Bayesian stat class that I am currently taking. All stuff is being and will be done in R. The exercises are from Gelman and Hill's book, Data Analysis Using Regression and Multilevel/Hierarchical Models. You can learn great stuff from these exercises alone, I tried to make them as self-explanatory as possible. But it's better if you read the related chapters first and then have a look at the exercises.

The first two assignments are kind of reviews for the previous issues: linear and non-linear regression models.

The third one is about the multi-level models.

The fourth and the upcoming ones will be on Bayesian.

Disclaimer: In any of these exercises, my answers can be plain wrong. Caution. Some graphs can look cool, but it's not me, it's the R (ggplot pkg more specifically) - so don't be fooled by the cool graphs. There are mistakes, indeed, but I feel too lazy to correct and re-upload them. Think of them as games. You get points as you find my mistakes.

Assignment 1: Basics

https://drive.google.com/file/d/1RjdWPAI2D4hUnQR7ql3hWj4V5Lgk6K_L/view?usp=sharing

Assignment 2: Review of Linear and Non-linear models (binomial, poission etc.)

https://drive.google.com/file/d/1pTCRBedjsiJisgrV3-mzCSB5_ssqD68y/view?usp=sharing

Let me know if any of the links expire.

I will update here as I do more assignments.

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