@s.k_525
As a student of statistics your channel is a heaven ❤🎉. Thank you so much for the videos.
@kristianwichmann9996
Tidyverse is indeed one of the main reasons for using R
@RajivSambasivan
Very Excellent. Just a minor suggestion. @15.13 you say outliers challenge this concentration. I think the point is extreme events/values are not always "small" proabablity in all every distribution. So they may not be an outlier in a fat tailed distribution. Maybe you intended to say that an extreme value is an outlier in a normal distribution is challenged in another distribution. This is nit picking perhaps, but you have explained it later in the video. This is an excellent summary. Kudos.
@surfingbilly9654
At this point, i feel like machine learning can be considered one of the biggest improvements in "statistics" (especially for forecasting) even though it is not directly involved with statistics. If i wanted to forecast something, i would be hard pressed to create a statistical model that could outperform a machine learning model.
@overanalyzed5258
Oh shoot I'm at Columbia, I should see if I can find Gelman and have a chat with him
@asmithgames5926
"There's lies, there's damned lies, and then there's statistics." --Mark Twain
@johncipolletti5611
As a mathematician, I love Mark Twain's comment: There are lies, and there are damn lies, and then there is statistics!
@_TravelWithLove
Thank you very much for sharing your insights and wisdoms filled videos !! Best scientific channel on YouTube for a while !! Outstanding !! Greetings from California … I wish you and folks good health , success and happiness !! Much Love ✌️😎💕
@ngvkhtnw22
This is great! Could you do a video on "degree of freedom". I feel that NONE of the textbooks on the market is able to explain this idea clearly intuitively, or mathematically, or numerically.
@Siroitin
High quality video! Usually these videos just reinforce the stereotypical view of statistics "you must learn to understand linear algebra, MSE and matrices"
@lexinwonderland5741
It always makes my day to see that you posted a new video!! Keep it up please!!!
@mikefochtman7164
Fascinating. And the irony at the end of using statistics to discuss how ideas in statistics are rated.
@wobblejuice
I wish you had spoken the titles of each section. Very hard to follow when driving and the title slide flashed away too quickly.
@kevinjkelliher
Most of these ideas seem to have arisen from the analysis of very large data sets (and the issues inherent in combining sets of data) and the availability of computing power and the increased tendency to model issues.
@jamest1240
I'd love to see a video on using ideas from statistics to explore learnings from a data set such as IMDB (movies).
@academyofuselessideas
This reminds me of Ten great ideas about chance By Persi Diaconis and Brian Skyrms... Great summary!
@AustrianHungAryan
As a prestigious graduate of business statistics I am proud to say I was effectively taught how to pronounce "statistics" and how to ignore Bayes Theorem.
@asmithgames5926
A statistical idea is important if it's influence is statistically significant 😂 Cool video!
@scottmerritt9877
Thank you very much for creating this video. At 6:25 you discuss overparameterization. The Akaike information criterion (AIC) provides guidance on model order. Do you use it? What benefits and drawbacks have you found?
@very-normal