What is it?
The chain rule read backwards: . In probability it is how densities transform when a random variable is transformed.
Formulas
- change of variables for densities
Where it shows up in computing
Importance sampling and inverse-transform sampling are changes of variable in the integral being estimated.
Where it shows up in AI
In 1D, a normalizing flow is exactly the density change-of-variables formula.
Where is it used?
Computing topics reachable from here, through the chain of ideas that leads to them:
∿ Signals, media and vision
- Trigonometric integrals→Fourier series→Signal processing★★★★★
- Trigonometric integrals→Fourier series→Fourier transform→Sampling theorem (Nyquist–Shannon)★★★★★
- Trigonometric integrals→Fourier series→Fourier transform→Fast Fourier transform (FFT)★★★★★
- Trigonometric integrals→Fourier series→Signal processing→Digital filters★★★★★
- Trigonometric integrals→Fourier series→Signal processing→Media compression (JPEG, MP3, video)★★★★★
- Trigonometric integrals→Fourier series→Fourier transform→Telecommunications (modulation, OFDM)★★★★★
- +1
What depends on it
This page has the essentials. A fuller treatment (intuition, formal definition, worked example) is on the way.