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@joe-sfx joe-sfx commented May 14, 2020

Modifies a scale function k_* to a version which is asymmetric about the median by declaring the new scale function agrees with k_* on [p, 1] (for some p between 0 and 1) and is the linearization of k_* at p on [0, p]. (Similarly with the roles of 0, 1 reversed.) The proof that the resulting t-digest is mergeable is contained elsewhere (in a research article).
Empirical results demonstrate the asymmetric t-digest retains the error profile of the original scale function on one side of the distribution and is comparatively less accurate (and less memory/CPU-intensive) on the other side. This allows for a more calibrated tradeoff between computational resources and accuracy.

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tdunning commented May 17, 2020 via email

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joe-sfx commented May 20, 2020

Added preprint with proofs, and fixed some links in the README.

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tdunning commented Sep 5, 2020

Joe,

I have thought about this a bit and it seems like a reasonable update. I am clearing the decks for a new release and the release after that would be a good time for this to go in.

Can you incorporate your proof into the existing proof papers in this distro?

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joe-sfx commented Sep 15, 2020

Sounds good to me. Do you have an approximate timeline for the release that this would go in?

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tdunning commented Sep 15, 2020 via email

Base automatically changed from master to main January 18, 2021 06:15
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