[–] jostmey 5y ago ↗ I love the Wikipedia reference to the table of maximum entropy probability distributions. Very useful table of distributions for anyone doing modelling [–] robotresearcher 5y ago ↗ For anyone looking for this, it's the very last phrase in the article, and it's this:https://en.wikipedia.org/wiki/Maximum_entropy_probability_di...
[–] robotresearcher 5y ago ↗ For anyone looking for this, it's the very last phrase in the article, and it's this:https://en.wikipedia.org/wiki/Maximum_entropy_probability_di...
[–] activatedgeek 5y ago ↗ I like the general treatment of constraints for continuous distributions.I wrote an alternative derivation for the Gaussian as a maximum entropy distribution with finite variance here [1].[1] https://im.perhapsbay.es/kb/the-gaussian-cheatsheet/#as-a-ma... [–] ycreader 5y ago ↗ I don't get what the schur complement is for [–] activatedgeek 5y ago ↗ That's a separate thing. I only meant to point to the heading "As a maximum entropy distribution".
[–] ycreader 5y ago ↗ I don't get what the schur complement is for [–] activatedgeek 5y ago ↗ That's a separate thing. I only meant to point to the heading "As a maximum entropy distribution".
[–] activatedgeek 5y ago ↗ That's a separate thing. I only meant to point to the heading "As a maximum entropy distribution".
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[ 0.25 ms ] story [ 22.0 ms ] threadhttps://en.wikipedia.org/wiki/Maximum_entropy_probability_di...
I wrote an alternative derivation for the Gaussian as a maximum entropy distribution with finite variance here [1].
[1] https://im.perhapsbay.es/kb/the-gaussian-cheatsheet/#as-a-ma...