Andrey Akinshin

aakinshin.net · Personal blog · on HN since 2016

Andrey Akinshin writes about statistics, performance benchmarking, and .NET internals, including quantile estimation algorithms.

What HN saysHN links it for quantile and median estimation, such as the P² algorithm, in threads about approximating medians without storing all values.
19HN people shared it
2linked it in comments
25stories submitted
305story points
11 months agolast shared
2016people per year2026

Most-shared posts

  1. 1
    Normality Is a Myth
    4 people · 5 points · first shared 2019 · discussion on HN
  2. 2
  3. 3
    Statistical Approaches for Performance Analysis
    2 people · 6 points · first shared 2020 · discussion on HN
  4. 4
    Reflecting on performance testing
    2 people · 3 points · first shared 2017 · discussion on HN
  5. 5
    DateTime under the hood
    2 people · 2 points · first shared 2016 · discussion on HN
  6. 6
    65535 interfaces ought to be enough for anybody
    1 people · 131 points · first shared 2017 · 79 comments on HN
  7. 7
    Why is NuGet search in Rider so fast?
    1 people · 4 points · first shared 2017 · discussion on HN
  8. 8
    Fast moving median and quantile estimator
    1 people · 3 points · first shared 2020 · discussion on HN
  9. 9
    Stopwatch Under the Hood (2016)
    1 people · 2 points · first shared 2025 · discussion on HN
  10. 10
    Misleading standard deviation
    1 people · 2 points · first shared 2021 · 1 comments on HN
  11. 11
    Stopwatch under the hood
    1 people · 2 points · first shared 2016 · discussion on HN
  12. 12
    Analyzing distribution of Mono GC collections
    1 people · 2 points · first shared 2018 · discussion on HN
  13. 13
    Lowland Multimodality Detection
    1 people · 1 points · first shared 2020 · discussion on HN
  14. 14
    Plain-text summary notation for multimodal distributions
    1 people · 1 points · first shared 2020 · discussion on HN
  15. 15
    NuGet2 and a DirectorySeparatorChar bug
    1 people · 1 points · first shared 2017 · discussion on HN

What HN people wrote when they linked it

throwaway_2494 · 2024-07-25
See also the Greenwald Khanna quantile estimator, an online algorithm which can compute any quantile within a given ϵ. https://aakinshin.net/posts/greenwald-khanna-quantile-estimator/
menaerus · 2024-01-05
It certainly is possible to approximate the median: https://aakinshin.net/posts/p2-quantile-estimator/ A quick search shows that Boost.Accumulators have several median estimation implementations available to choose from: https://www.boost.org/doc/libs/1_84_0/doc/html/accumulators/user_s_gui… > Median estimation based on the P^2 quantile estimator, the density estimator, or the P^2 cumulative distribution estimator.

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