Nonparametric Kernel regression

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I cover two methods for nonparametric regression: the binned scatterplot and the Nadaraya-Watson kernel regression estimator.
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Excellent video sir, help me understand this topic easily

avinashboppudi
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Awesome Possum! I love the tip about binscatter in Stata. I was using twoway scatter with lpoly. This appears much better.

dmaslach
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Beauty of simplicity!! Very well Explained. Thanks.

suhailwali
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This is a 2016 video powered by 1440p it's great!

matgg
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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.

michaelhoffman
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Hey. I knew this guy before he got famous!

rasmusvelling
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Can you please publish the data you used? I like to try it out. Thanks for excellent explanation.

samm
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This is very similar to savitzky golay filter, no?

darkswordsmith
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I have a smooth brain. What are some good keywords for me to get started learning in a direction to learn this?

Tabu
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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.

JMRG
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Is there a unique slope in kernel regression?

genderenquirer
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Thank you Sir Anders! I wonder if you have an available Rcode for NAdaraya Watson Estimator.

tomarkhelpalma
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Thank you so much Mr Anders. Your explanation for binned scatterplot really useful for me. Could you make availability of your Matlab code?

kamalchapagain
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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?

ravigs
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Thank you so much Mr Anders, could you help me to proof Kernel is density's function in mathemetic method?

RahmatHidayat-qczh
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why are you typing so bad. I got headache.

akisamarikhalaj