Ted Dunning

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20082019

most citedComputing Extremely Accurate Quantiles Using t-Digests

42 citations · 50 across the 5 of their papers we have counts for

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3 papers · 1 filter

stat.CO2019★ 2 cited

The Size of a $t$ -Digest

Ted Dunning

A $t$ -digest is a compact data structure that allows estimates of quantiles which increased accuracy near $q = 0$ or $q = 1$ . This is done by clustering samples from $R$ subj…

stat.CO2019★ 2 cited

Conservation of the $t$ -digest Scale Invariant

Ted Dunning

A $t$ -digest is a compact data structure that allows estimates of quantiles which increased accuracy near $q = 0$ or $q = 1$ . This is done by clustering samples from $R$ subj…

stat.CO2019★ 42 cited

Computing Extremely Accurate Quantiles Using t-Digests

Ted Dunning, Otmar Ertl

We present on-line algorithms for computing approximations of rank-based statistics that give high accuracy, particularly near the tails of a distribution, with very small sketches…

The Size of a t-Digest

Conservation of the t-digest Scale Invariant

Computing Extremely Accurate Quantiles Using t-Digests

The Size of a $t$ -Digest

Conservation of the $t$ -digest Scale Invariant