Bayesian Inference with Stan Ep3: Linear Regression

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Welcome to the third episode of Bayesian Inference with Stan. In this episode, we'll predict match attendance using linear regression and data
collected from ~1000 matches of AFL football. All coding will be performed using Stan, R and Rstudio and all the code can be found on github (github.com/AFLgains).
Chapters:
0:00 Intro
1:10 Video outline
2:44 Stan under the hood
4:25 Data, model and assumptions
8:00 Writing a Stan program
18:28 Putting it all together
27:47 Summary
Bayesian Inference with Stan is an 8-part course that gives you the foundational knowledge of how to do Bayesian Inference using the Stan programming language.
►SUBSCRIBE to watch the series FREE on RU-vid!
Subscribe to the channel: ru-vid.com/show-UCQSiw4sE8xo2myp4S3n0ZHw
Full playlist: ru-vid.com/group/PLtjJ_Rt8bTdJEeV0afADtWvqq_t0_iksX
►SOCIAL MEDIA
twitter: AflGains
github: github.com/AFLgains
►USEFUL LINKS
Stan home page: mc-stan.org/
Install R and Rstudio: www.rstudio.com/products/rstudio/
How to install RStan: github.com/stan-dev/rstan/wiki/RStan-Getting-Started
Introduction to R: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-_V8eKsto3Ug.html&ab_channel=freeCodeCamp.org
Machine Learning using R: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-6dEUTmoXz0w.html&ab_channel=S

Опубликовано:

6 сен 2022

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Комментарии : 7

@bucklbr4 27 дней назад

Incredibly useful mate. Many thanks!

@anwmus Год назад

Very helpful - explanation on assumptions and setting up of priors is excellent. I have subbed 👍

@ROTFLTV 11 месяцев назад

I have found your videos super helpful! Thank you!

@anwmus Год назад

Hello again, your RStan videos which I've watched repeatedly are a treasure trove. They've really helped me to understand the whole process of doing Bayesian inference in Stan. PS: Please where can I find the music in the intro (you described it as 'Soul Hip Hop Beat' by UrbanGodzilla but can't find it anywhere on the web)??? I got to have this its too funky! Any help with this will be great. Thanks again.

@HarmonicaTool 7 месяцев назад

Thank you very much. A very helpful video. So far a task that could far easier be done using rstanarm but I hope to encounter the higher flexibility of programming directly in Stan. Should you still be planning on producing further videos (which I hope) and should you be accepting requests: As the Bayesian alternative to LASSO apparently Horseshoe priors are great. However, I still have to find a single RU-vid video to explain those and how to use them in an accessible manner. Cheers.

@learnstanwithric 7 месяцев назад

Hi Harmonica! Yes i'm still active, but been caught up with other projects unfortunately. Rstanarm is a great wrapper package, but as you say it's way less flexible. Sure thing - I can do a video on horseshoe priors. Will add it to the list :)

@meetuptoyosu4945 5 месяцев назад

@@learnstanwithric I have been searching for horseshoe as well. I want to create a complex model using the horseshoe but can't figure how to model it! I used brm to get the stan code for horseshoe then try to modify it. But I still can't get it T_T