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From "Ted Dunning (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MATH-222) Need way to compute density of distributions
Date Tue, 02 Sep 2008 08:16:44 GMT

     [ https://issues.apache.org/jira/browse/MATH-222?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ted Dunning updated MATH-222:
-----------------------------

    Attachment: MATH-222.patch

This is a patch that adds the proposed mechanism.

> Need way to compute density of distributions
> --------------------------------------------
>
>                 Key: MATH-222
>                 URL: https://issues.apache.org/jira/browse/MATH-222
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Ted Dunning
>         Attachments: MATH-222.patch
>
>
> Currently, there are a number of distributions defined in commons math, but the interface
for Distribution and ContinuousDistribution doesn't provide for the computation of the PDF
at a particular point.
> It is common for it to be necessary to compute the density function, for example in the
Metropolis algorithm.
> It is also pretty common for it to be very difficult to compute a density function or
for the density function to be undefined as certain points.  Only the cumulative density is
mathematically assured.
> Thus, I propose to create a new interface HasDensityFunction<T> that requires the
implementation of a double density(T) method.  T is the type of the argument for the density
function which would be Double in the case of most univariate statistics, but could, for instance,
be a vector of doubles for a Dirichlet distribution or a vector of integers for a Multinomial.

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