The Bayesians are Coming to Time Series

[@rahulchowdhury9739]

Dr. LaBarr, you are really good at explaining.

[@chrisfrshw]

excellent presentation @Aric LaBarr.... well structured and super clear!

[@lashlarue7924]

At first I thought this was clickbait, then I realized it was Dr. LaBarr. This was solid, great overview.

[@Tessitura9]

Omg thank you SO much. Never seen Bayesian forecasting explained so well.

[@ControlTheGuh]

This was great. Had Business Forecasting in Uni. This lecture was way clearer structured

[@LC-mw7gr]

extremely helpful, thank you sir!

[@dangernoodle2868]

Masterful communication and presentation skills, damn!

[@nafishasanruman5213]

this is amazing, thank you so much

[@arsalanesmaili]

Thank you! Great presentation

[@foabehp.6706]

Thanks for sharing!

[@andresfelipehiguera785]

Great talk. Thanks

[@hindy51]

Awesome talk.

[@JohnnyFrusciante]

Why does the Bayesian AR match the training data so much better than the frquentist ARIMA?

[@user-wr4yl7tx3w]

This is really clearly explained

[@dsjgd]

Great video!

[@locomotive43]

Ur example was for forecasting.. Can we use baysian StructuralVAR instead of SVAR to find correlation of structural shocks of output between different countries using historical GDP data????

[@edwardchida2563]

thank you, gave me a thesis idea

[@tamas5002]

I wish they taught me this way at university...

[@Toldo15]

Thanks

[@sevenwc7485]

frequentist vs. bayesian view=fixed mindset vs. growth mindset

[@chadgregory9037]

"1 if by land, 2 +some inference noise if by sea!!!! "

[@baba5149]

2 against 1. Kinda unfair. Would have been interesting to compare bayes + arima vs bayes + bayes ensemble (via sampling from training data)

[@Baqer_Alhusseiny_369]

🌹

[@egbertjanvierkant4708]

Aric LaBarr is great

[@davidg3594]

Just leave!

[@mokus603]

What kind of bot are you? 😂

[@englianhu]

wonder how to fit into fable.prophets r package