Aric, I've watched all your videos in this series. I love the fact that you talk fast and move on. You give a chance to my brain to think about another chess game. Thank you!
so is it possible to read out the algebraic form of the fitted linear model out explicitly?:) If not, is there another approach where this is possible?
It definitely is possible! The more complicated the model (more knots, more fourier terms, more holidays) the more complicated the equation is. y = beta0 + TREND + FOURIER + HOLIDAY TREND = piecewise linear regression on trend. That could be a simple as beta1*time (no knots) or more complicated with knots FOURIER = beta term multiplied by each of the fourier terms described in the video HOLIDAY = beta term multiplied by dummy variable where it is a 1 for the holiday and 0 otherwise
strangely good, I wish all model explanations were like this
strangely good, i feel you
wow, you can't begin to understand how easy you explained everything I needed to know
THANK YOU !
Great and concise! Very engaging especially with the witty titles! Thank you for sharing :)
Aric, I've watched all your videos in this series. I love the fact that you talk fast and move on. You give a chance to my brain to think about another chess game. Thank you!
Brilliant and concise explanation! Aric, please keep them coming. ;)
Short but concise 😊
Fourier: "for" - "ee" - "ay"
Not to be confused with Furries, which is a completely different beast.
I like the Fourier series idea. That is clever.
so is it possible to read out the algebraic form of the fitted linear model out explicitly?:) If not, is there another approach where this is possible?
It definitely is possible! The more complicated the model (more knots, more fourier terms, more holidays) the more complicated the equation is.
y = beta0 + TREND + FOURIER + HOLIDAY
TREND = piecewise linear regression on trend. That could be a simple as beta1*time (no knots) or more complicated with knots
FOURIER = beta term multiplied by each of the fourier terms described in the video
HOLIDAY = beta term multiplied by dummy variable where it is a 1 for the holiday and 0 otherwise
could you give me the link for your presentation please, thanks for your time.
Sorry, but there is no link for the presentation!
Excellent videos, can't wait for more.
Holy fuck...what an amazing video
Hi Aric, could you make a video on VAR modelling?
That is definitely on the upcoming list!
whait we use trigonometry in inferential statistics? that's awesome
Four-YAE
Lesseon algoritma prophet
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