Introduction to Bayesian data analysis - part 3: How to do Bayes?

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Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: www.datacamp.com/courses/fund...
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This is part three of a three part introduction to Bayesian data analysis. This last part aims to gives some pointers to how Bayesian data analysis can be done in practice. If you haven't watch part one and part two, I really recommend that you do that first: • Introduction to Bayesi...
Links from the video:
How to install Stan: mc-stan.org/interfaces/
Stan cheat sheet: goo.gl/BmvSqM
R exercise: goo.gl/cuKzpD
Python exercise: goo.gl/Nm6naZ
Bonus Exercise: goo.gl/hRDAIE

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28 июн 2024

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Комментарии : 68

@saurabhkhodake 7 лет назад

The best bayesian video out there.... i hope youtube picks up my keywords and put this video right at top of search results

@rasmusab 7 лет назад

Thanks Saurabh! :D

@michaelrobertson9517 5 лет назад

This series is a _pedagogical masterpiece_. Thank you!!

@matrixtoogood5601 3 года назад

The best series on Bayesian Data Analysis I could find on the internet!

@gueyenono 6 лет назад

You are a phenomenal teacher. Thank you for the tutorials.

@callummatchett8937 5 лет назад

Exceptional 3 part series on probabilistic modelling. I keep coming back to these videos for a refresher

@clivebird5729 2 года назад

Ramus, a sincere thank you for your 3 part Bayesian data analysis. So well introduced, I've signed up to DataCamp and enrolled on your, 'Fundamentals on Bayesian data analysis in R'. Awesome. Thanks.

@sambennett9901 4 года назад

This is an incredible tutorial series! You take something that could be quite complicated for a beginner and explain it so well, thank you!

@Jaaksonajalg 6 лет назад

A really good overview, thanks! The fish graphics, Hokusai sketches and presenting the problem as a case of Catch-22 made your tutorial particularly enjoyable.

@kubawlo 3 года назад

Thank you for this series of videos. Very clear explanation with first building intuition and then wrapping it with some minimal maths behind it. The best way of explaining the universe.

@meqhas09 Год назад

Thank you Rasmus, these three parts are hilarious, especially with their fantastic and informative exercises. I really enjoyed them. Thank you again.

@focker0000 7 лет назад

you have a very deep comprehension of Bayesian theory and i appreciate of all your videos!!

@juliocardenas4485 2 года назад

You rock sir !! This is the best explanation I have ever seen. Thank you for helping to take my skills to the next level

@jadhinawi7409 6 лет назад

Great intro with a very smooth presenting skills. Many thanks Rasums!

@DanielBurrueco 6 лет назад

Very good introduction to Bayesian analysis, thank you!

@jasonthomas2908 5 месяцев назад

This series has been very helpful. Thanks for that.

@AnnaB-oo5bd 3 года назад

Congratulations on designing and delivering a great tutorial! Brilliant

@ShivaramakrishnaReddy 5 лет назад

This really helped me understand the process of this! Thank you so much!

@TheScepticalinquirer 4 года назад

Awesome job!!! Beautifully built and presented...

@araplagat_ 4 года назад

my first time taking a peek at Bayesian data analysis, and its been a good start, although it took me hours to grasp a little. Thank YOU,

@hainingzhou9876 5 лет назад

Thank you very much! the ideas and the tools introduced in this video is suuuuuuuuper helpful for my research.

@mathom21 6 лет назад

Outstanding material (all parts). Many Many Thanks!!!

@kristiapamungkas697 3 года назад

Amazing introduction! I have just enrolled in your course via Datacamp

@omidgeysar7680 3 года назад

Thank you so much, one of the best presentation I have ever seen!

@MrOfferm 7 лет назад

Thank you very much for posing this!

@kurtludikovsky1654 Год назад

Excellent Introduction. Thanks a lot!

@sonigirjesh 6 лет назад

Awesome !! Simple and practical. Thanks.

@ishaaittoo9293 3 года назад

A theory historically emphasized by Fisher and a Fish example. Damn you're good. THANK YOU SO MUCH

@ankushkothiyal5372 2 года назад

Thank you for these tutorials.

@jobyjoy636 6 лет назад

This is Brilliant ! Thank you so much.

@niklase5901 6 лет назад

Great video Rasmus!

@aleksandermolak5885 4 года назад

Thank you Rasmus! Great playlist!

@vatsaakhil 3 года назад

Thank you so much for this series, I'm starting the Kruschke puppy book soon!

@georgekochuparampil4238 4 года назад

Excellent Presentation, congratulation Rasmus

@yusufibrahim1005 6 лет назад

Thank for making good introduction on bayesian data analysis its rely helpful

@user-qc9qp9qp5e Год назад

a really really nice tutorial for Bayesian beginner!!!

@leledavid 7 лет назад

thanks for making these videos, very useful!

@NathalieTamayo 2 месяца назад

Excellent explanation, thanks

@syrphus 7 лет назад

Thank you for making these videos!

@12copablo 4 года назад

Thx so much for these videos! Really helped!

@larsrichter9978 5 лет назад

Amazing job!

@albertomedinarobredo 5 лет назад

you are very good!! See you in your data camp course!

@clezcanopy 4 года назад

excelent tutorial, very appreciate it

@sakkariyaibrahim2650 9 месяцев назад

Great lecture

@pedrobatista5724 6 лет назад

this is great, thanks!!

@RV-oo6dh 6 лет назад

Well done! Thank you for these videos Rasmus - you've presented the subject fantastically well. I wonder how long did it take you to put this together...?

@laurentcapolungo2261 3 года назад

Rasmus, fantastic lectures. I watch them late at night and can learn immensely while putting my newborn to sleep (my son is getting used to your voice )

@leonkk2712 2 года назад

great job

@thomaslees1892 5 лет назад

Thank you so much this tutorial was awesome! A massive help

@bombaikos 4 года назад

Bravo!

@sovitgurung4062 4 года назад

Thanks alot

@farnazbayaat5955 2 года назад

amazing

@xiaoqingzhang9556 7 лет назад

You are so cool!

@piotralanp 7 лет назад

28:57 - the funniest waiting song ever, turn on the subtitles. "do pootaroo to tentacle creature chica - chicken chicken coop - - you could do the chicken but... do-do-do-do" LOL

@rasmusab 7 лет назад

My good!!! Tears in my eyes! :D So I guess the auto-translate subtitles doesn't like my singing :D

@RohitKalia 6 лет назад

Due to your comment i watched the video again. It's hilarious

@jiachen1078 7 лет назад

thanks so much. but can you explain how metropolis hastings works? :D

@user-or7ji5hv8y 5 лет назад

Have you tried Pyro? Which package do you recommend? I understand that PyMC3 has a large community.

@Ivan-td7kb 5 лет назад

Wait so if we use MCMC to walk around the parameter space why do we even need the prior distribution? Is it only used to initialize the starting value of the MCMC?

@edgardesouzavismara7798 7 лет назад

Quite nice videos! How did you create those fine graphs of likelyhood!

@rasmusab 7 лет назад

Everything is made in scratch from R with a lot of pretty ugly code :)

@edgardesouzavismara7798 7 лет назад

:) Could you share the code? I never saw the likelihood surface represented in the way.

@joeya6635 5 лет назад

I hate R,is it possible to do all these just in python?

@jameswilliamson1726 4 года назад

My Stan program in Python can create the correct model, but doesn't finish a fit in hours... not even with iter = 10. Any ideas?

@citiblocsMaster 6 лет назад

36:29 "by me in a amazon review". Love it. Edit: that comment is featured on the book homepage: xcelab.net/rm/statistical-rethinking/. You were not kidding