Inferring the effect of an event using CausalImpact by Kay Brodersen

www.bigdataspa...
Abstract: www.bigdataspa...
Slides: www.slideshare...
Session presented at Big Data Spain 2016 Conference
17th Nov 2016
Kinépolis Madrid
Event promoted by: www.paradigmadi...

[@wilzaidan]

If you could travel to the future from when you posted this video, you would come to a conclusion that in 2024 this is still extremely relevant. Great presentation!

[@sabyasachidas142]

Wow this video was posted 7 years ago and it is still so relevant today, in the world of “AI”. Great presentation and some of the questions answered at the end were spot on. Thanks for the awesome presentation!

[@ebendaggett704]

You, sir, are an outstanding presenter. This was perfect. Thank you for developing and releasing the package and thank you for providing this excellent presentation.

[@DaarShnik]

One of the best talk I've ever seen this is how you should explain things.

[@thiagoreisdesousa6064]

Sure

[@ayushtripathi4228]

Kay has very concisely explained what a super power a Marketing Analyst has to their exposure. He is a really good presenter.

[@Yorockers]

I was reading the reaseach paper but got to know about your video and my week work covered by your 30:38 mins. Amazing presentation!!!!

[@sarnathk1946]

Its all imputation finally :) I loved the approach! Thanks for the presentation!

[@mayankgarg3609]

One of the best presentations. Thanks a ton for explaining this so beautifully!

[@tamas5002]

He is amazing presenter! Many thanks

[@micaelakulesz9387]

FANTASTIC Presentation!

[@hygro9625]

28:21 "can we use this to measure multiple events that overlap in time?" "that's an open research question" Well I hope someone answered that in the last 8 years because that's why I'm here

[@marcoceran4669]

Amazing presentation, I am currently working with this tool and you made things so much clearer, congratulations

[@mumtahinahzia7312]

Excellent presentation.. Thank you!

[@xdxn2010]

great talk and great questions from Q&A session. want to know more about how to choose the predictor time series.

[@Snayderstone]

Thank you for this video, it helped me a lot for my research. you're great

[@javierdelgadonoriega8204]

What if we dont have a high correlated time series to train the model ¿

[@soonmi8278]

Wow! Really cool library, amazing presentation. Can't believe I didn't know this was a thing.

[@rajavelks6861]

Thanks, Kay Brodersen Rajavel KS, Bengaluru.

[@katyasotiris9667]

Thank you for the presentation. Must be noted that the validity of this approach is entirely dependent on the ability to accurately extrapolate the control scenario based on observational data. In a nutshell, it relies on our ability to 'randomize' the treatment and control groups via adequate control variables. If, on the other hand, we miss a key variable in our extrapolation model, the estimated causal effect of the variable in question will be biased. This causal estimation is nothing but a way to approximate a randomized experiment scenario via a model which attempts to control for all relevant outcome drivers.

[@noufamukhtar6507]

Exactly I agree with you, It is like a prediction based on a prediction.

[@lakshmank]

Excellent Presentation on Causal Analysis

[@jingbohou4471]

A very clear presentation about the CAUSAL IMPACT tool! Thanks!

[@DenisaLoužilová]

i would like to make the option at 16:30 - pre-intervention, intervention and post-intervention, not only the classic pre and post period

[@rickmanofthealan3625]

I keep being amazed!

[@yogeshdhingra4070]

Such a great explaination! Thank you

[@calidata]

Can independent variables in the above example be considered to be instrumental variables?

[@ChristopherKeune]

This made my career

[@programmingwithjackchew903]

what if we only got post period, is it feasible to do it?

[@vladimirtoomach]

окей, если несколько тритментов, почему мы не можем посчитать один, а потом его вычесть из временного ряда во втором тритменте, чтобы оставить влияние только одного изменения?

[@fabianguiza2420]

Fantastic talk. Thanks for sharing

[@spikeydude114]

Great video

[@sm11ax]

This is so amazing

[@dwhdai]

Great talk!

[@user-wi9po1ki6l]

excellent explanation!

[@dexterpante]

Thanks! I like the summary() function!

[@davidpomerenke3233]

❤

[@siimsainas3598]

How is CasualImpact different from a common marketing mix modelling project?

[@thesepages2316]

Fantastic talk! Thanks for sharing