You can find the spreadsheets for this video and some additional materials here: drive.google.com/drive/folders/1sP40IW0p0w5IETCgo464uhDFfdyR6rh7 Please consider supporting NEDL on Patreon: www.patreon.com/NEDLeducation
@user-wr4yl7tx3w5 ай бұрын
this is really clear and easy to follow. thanks
@tchoffotallaguillaume11642 жыл бұрын
Good video!!! Thank you so much for your brilliant presentation. let's consider the case of 2 time series variables. what will be the procedure to calculate the join kernel density?
@areejareej2814 ай бұрын
How I can do this if I have x as (independent variable) and y as (dependent variable) ?
@phanquochung39243 жыл бұрын
very helpful teacher
@anirbanmondal412 жыл бұрын
This is a good video. Thanks
@Morgan_Edwin_Price11 ай бұрын
Thanks for the amazing videos Savva. I commented this on the Johnsons SU video as well... Do you see any issue with using the Johnsons SU as the underlying distribution instead of the standard normal you began with in the Kernel Density Estimation? If so, why? If not, what is the correct way to implement it given it has so many parameters and differs from the kernel subtracting the current return from the entire range of returns?
@dipanitamajumder5005Ай бұрын
How have you got the graph. Can you please show me the steps of the same
@marto22382 жыл бұрын
Good video! Do you know how to do the Sheather Jones bandwidth approach in excel, please?
@EveGabyGT Жыл бұрын
By any chance, is there a video when you work with weighted data?
@NEDLeducation Жыл бұрын
Hi Evelin, and thanks for the question! I use a very similar version of kernel density estimation in my video on quantile regression here: kzfaq.info/get/bejne/qrtnacWSy8zTfp8.html