We don't facilitate the sharing of the slides. If people want their slides to be shared, they would put a link in their presentation. I hope I answered your question.
@lynnraypardo40333 ай бұрын
👏Thank you! That was fascinating,! ✨🙌Detailed enough to be fully engaging to experts while remaining accessible to the rest of us mere mortals😃
@jwhittington03837 ай бұрын
I would be helpful to share a link to the slide presentation.
@IIForecasters7 ай бұрын
We acknowledge the issue with the slides in the recording. We're working to ensure clear slide visibility in future recordings. Thank you.
@davidg35948 ай бұрын
Just disgusting.
@davidtiefenthaler7753 Жыл бұрын
Slides are missing 🤷
@IIForecasters Жыл бұрын
We are so sorry about this. We discovered after the fact, that the venue organizers did not capture the screen containing the slides.
@cleandata_sk7 ай бұрын
@@IIForecasters Hi, is there any way to get the presentation(s)? the talk was very interesting, but it hard to follow up without seeing what was presented.
@IIForecasters7 ай бұрын
@@cleandata_sk Could you send your request to [email protected] and we'll see if we can forward your request to the right person?
@cleandata_sk7 ай бұрын
@@IIForecasters thank you
@MrDonald911 Жыл бұрын
It's awesome that for all your videos we can't even see what the speakers are talking about ...
@questioneverythingalways820 Жыл бұрын
Lol. No.
@JohannPeterMurmann2 жыл бұрын
Great talk. I learned a whole lot and if you do not know about Gigerenzer's research program (my case) it is an hour filled with very important insights.
@axeltorbenson85332 жыл бұрын
This is a great talk! Thanks for posting this
@paulperrin76502 жыл бұрын
I loved the talk. I am very interested in hearing more about making Fable reconciliation on par with HTS in terms of computational efficiency. Also, I would love a non-negative constraint method added to the Fable reconciliation function. Does anyone have a link to the non-Negative Cross Temporal Forecast Reconciliation talk mentioned at the end of this video?
@IIForecasters2 жыл бұрын
There was a talk given at ISF 2022 entitled Tools for forecast reconciliation: the R package FoReco by Daniele Girolimetto which might assist with your inquiry. I found this reference as well: cran.r-project.org/web/packages/FoReco/FoReco.pdf.
@mucaak51433 жыл бұрын
GUGUCHING GUGUCHINGA GUGUCHINGA
@spikeydude1143 жыл бұрын
This is great. I feel like more often I'm faced with scenarios not seen before and this helped explore topics of interest!
@srinivaschillara40233 жыл бұрын
I had attended this talk (online). Wide ranging and excellent.
@nintishia3 жыл бұрын
Thanks to the first speaker for the lucid exposition of probabilistic programming and Pyro. The second speaker also did an excellent job of introducing Orbit, but I felt it was more hurried in the presentation, and left out some important questions like whether the accuracy measure is programmable; e.g. can I use MAD as my accuracy measure and get a different model?
@Rapid14533 жыл бұрын
very interesting
@bastianabaleiv3 жыл бұрын
What a gem, professor Hyndman is the MVP
@mahdiabolghasemi86733 жыл бұрын
Awesome presentation! Seriously worth the time to watch.
@bibinmjose3 жыл бұрын
What’s the difference between matrix S and S’. Is it S_transpose
@karimb.3 жыл бұрын
Yes!
@jiahaoye16354 жыл бұрын
Hi May I ask where can I see the talks that mentioned in the video, like "Network Planning at Scale -- Forecasting for facebook's Edge" in 34:17? Thank you.
@user-or7ji5hv8y4 жыл бұрын
audio could be better
@drmeshackmasasekanikhosa78064 жыл бұрын
Great insights
@lorenzopascual53724 жыл бұрын
Dear professor Ruiz, as usual, a fantastic and interesting presentation. Congrats.