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From "Venkatesha Murthy TS (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-418) add a storeless version of Percentile
Date Sun, 23 Mar 2014 18:24:44 GMT

    [ https://issues.apache.org/jira/browse/MATH-418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13944513#comment-13944513
] 

Venkatesha Murthy TS commented on MATH-418:
-------------------------------------------

Here is the issue i created for p^2 (https://issues.apache.org/jira/browse/MATH-1112 ) .
Hi All
thanks for mentioning this old issue. By the way would it help having a common strategy interface
to accommodate these various algorithms.
I feel either ways we should soon have this ability.
Please let know if i could still submit my implementation for review

thanks 
vmurthy

> add a storeless version of Percentile
> -------------------------------------
>
>                 Key: MATH-418
>                 URL: https://issues.apache.org/jira/browse/MATH-418
>             Project: Commons Math
>          Issue Type: New Feature
>    Affects Versions: 2.1
>            Reporter: Luc Maisonobe
>             Fix For: 4.0
>
>
> The Percentile class can handle only in-memory data.
> It would be interesting to use an on-line algorithm to estimate quantiles as a storeless
statistic.
> An example of such an algorithm is the exponentially weighted stochastic approximation
 described in a 2000 paper by Fei Chen ,  Diane Lambert  and José C. Pinheiro "Incremental
Quantile Estimation for Massive Tracking" which can be retrieved from CiteSeerX at [http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.1580].



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