Awesome Possum! I love the tip about binscatter in Stata. I was using twoway scatter with lpoly. This appears much better.
@superpronker6 жыл бұрын
Great to hear that! Once you go binscatter, it's kind of hard to go back... such a powerful yet simple tool (means in bins - what's not to love?)
@dmaslach6 жыл бұрын
Yup. The only I would like is confidence intervals and the ability to do multiple overlay data plots. Maybe the developers will add this in the future. :-)
@superpronker6 жыл бұрын
@@dmaslach I agree completely! If it becomes more widely used, eventually they probably will...
@avinashboppudi7 жыл бұрын
Excellent video sir, help me understand this topic easily
@pranjalchaubey2 жыл бұрын
Watching this in 2022......brilliant explanation!
@michaelhoffman11253 жыл бұрын
I believe the binned scatterplot you show is more akin to k-nearest neighbor regression, since each bin has a variable width and contains a fixed number of observations. For kernel regression the bins should have a fixed width with a variable number of observations.
@AndersMunkNielsen3 жыл бұрын
Good point about nearest KNN, I had not thought of it like that. I guess the KNN encourages you to think of the estimator as a function you can evaluate anywhere you want to, whereas the idea behind the binned scatterplot is that you only ever evaluate it at the centroids of the bins. In that sense, you could think of the binscatter as a special case of the KNN.
@samm84795 жыл бұрын
Can you please publish the data you used? I like to try it out. Thanks for excellent explanation.
@Tabu112113 жыл бұрын
I have a smooth brain. What are some good keywords for me to get started learning in a direction to learn this?
@technicalilm89996 жыл бұрын
excellent video
@JMRG29923 жыл бұрын
Is it possible to use Kernel regression to the multivariate framework jointly? From what I can see in R (rather than stata) it only presents the bivariate case.
@suhailwali8695 жыл бұрын
Beauty of simplicity!! Very well Explained. Thanks.
@tomarkhelpalma1383 жыл бұрын
Thank you Sir Anders! I wonder if you have an available Rcode for NAdaraya Watson Estimator.
@superpronker3 жыл бұрын
Unfortunately not, just in Matlab for this video.
@genderenquirer70953 жыл бұрын
Is there a unique slope in kernel regression?
@darkswordsmith Жыл бұрын
This is very similar to savitzky golay filter, no?
@superpronker Жыл бұрын
I'm not familiar with the filter but from a quick wiki look they look similar, but with a kernel that puts zero weights on data points further away than some distance. There's some relation to N-W with an Epanechnikov (triangle) kernel.
@blacklabelmansociety4 жыл бұрын
Great content.
@ravigs19887 жыл бұрын
Hi Anders, Can we fit non-parametric regression for a non-linear data? And also can you please come up with videos on use of splines?
@superpronker7 жыл бұрын
Hi Ravi, I'm a bit overburdened right now but maybe I can do the spline video in the future. In the meantime, I recommend looking in Cameron & Trivedi's book. I don't think I understand what you mean by non-linear data? The non-parametric regression is appropriate when the true "regression function" (or, conditional mean function) is non-linear.
@matgg82072 жыл бұрын
This is a 2016 video powered by 1440p it's great!
@rasmusvelling6 жыл бұрын
Hey. I knew this guy before he got famous!
@fabiocapello72285 жыл бұрын
famous and arrogant
@콘충이4 жыл бұрын
Thank you!
@RahmatHidayat-qc4zh7 жыл бұрын
Thank you so much Mr Anders, could you help me to proof Kernel is density's function in mathemetic method?
@AndersMunkNielsen6 жыл бұрын
Rahmat Hidayat, i dont understand your question, I’m afraid.
@kamalchapagain89657 жыл бұрын
Thank you so much Mr Anders. Your explanation for binned scatterplot really useful for me. Could you make availability of your Matlab code?
@superpronker7 жыл бұрын
Shoot me an email. Some of the code will be used in a course, so I'd prefer to not put it online as is.
@teoyuru69247 жыл бұрын
Hi Mr Anders, I really like your teaching. May I have your email for the Matlab/R code?
@superpronker7 жыл бұрын
If you do a quick google, you should be able to find my homepage where my email is (sorry, I've gotten a lot of spam so I'm a little paranoid :)