[jira] [Commented] (MATH-1039) Logarithmic probability and density calculations for the distributions
[ https://issues.apache.org/jira/browse/MATH-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13800519#comment-13800519 ] Aleksei Dievskii commented on MATH-1039: You're welcome! Logarithmic probability and density calculations for the distributions -- Key: MATH-1039 URL: https://issues.apache.org/jira/browse/MATH-1039 Project: Commons Math Issue Type: New Feature Reporter: Aleksei Dievskii Assignee: Phil Steitz Priority: Minor Labels: features, patch Fix For: 4.0 Attachments: LOGDENSITY.patch A person working with fairly small probabilities and densities often employs their logarithms to increase precision and decrease the chance of an underflow. However, just taking a log of the probability() or density() return value doesn't necessarily solve the problem, as these methods themselves could have lost precision or underflowed. This patch introduces new logProbability() and logDensity() methods overriden for many relevant distribution. The patch also introduces tests of these new methods. -- This message was sent by Atlassian JIRA (v6.1#6144)
[jira] [Commented] (MATH-1039) Logarithmic probability and density calculations for the distributions
[ https://issues.apache.org/jira/browse/MATH-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13796558#comment-13796558 ] Aleksei Dievskii commented on MATH-1039: 2.14.1, though I don't think that they changed these functions in the next release. Logarithmic probability and density calculations for the distributions -- Key: MATH-1039 URL: https://issues.apache.org/jira/browse/MATH-1039 Project: Commons Math Issue Type: New Feature Reporter: Aleksei Dievskii Priority: Minor Labels: features, patch Attachments: LOGDENSITY.patch A person working with fairly small probabilities and densities often employs their logarithms to increase precision and decrease the chance of an underflow. However, just taking a log of the probability() or density() return value doesn't necessarily solve the problem, as these methods themselves could have lost precision or underflowed. This patch introduces new logProbability() and logDensity() methods overriden for many relevant distribution. The patch also introduces tests of these new methods. -- This message was sent by Atlassian JIRA (v6.1#6144)
[jira] [Commented] (MATH-1039) Logarithmic probability and density calculations for the distributions
[ https://issues.apache.org/jira/browse/MATH-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13794997#comment-13794997 ] Aleksei Dievskii commented on MATH-1039: 1. I didn't know that interfaces couldn't be changed outside a major release. Of course, keeping the changes to abstract parents will cover the immediate needs. 2. The reference data come from R (so I just haven't changed the overall testing data disclaimer). I used the standard density functions (dpois, dnorm and so on) with log=TRUE argument. Logarithmic probability and density calculations for the distributions -- Key: MATH-1039 URL: https://issues.apache.org/jira/browse/MATH-1039 Project: Commons Math Issue Type: New Feature Reporter: Aleksei Dievskii Priority: Minor Labels: features, patch Attachments: LOGDENSITY.patch A person working with fairly small probabilities and densities often employs their logarithms to increase precision and decrease the chance of an underflow. However, just taking a log of the probability() or density() return value doesn't necessary solve the problem, as these methods themselves could have lost precision or underflowed. This patch introduces new logProbability() and logDensity() methods overriden for many relevant distribution. The patch also introduces tests of these new methods. -- This message was sent by Atlassian JIRA (v6.1#6144)
[jira] [Commented] (MATH-1039) Logarithmic probability and density calculations for the distributions
[ https://issues.apache.org/jira/browse/MATH-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13795626#comment-13795626 ] Phil Steitz commented on MATH-1039: --- Thanks! What version of R? Logarithmic probability and density calculations for the distributions -- Key: MATH-1039 URL: https://issues.apache.org/jira/browse/MATH-1039 Project: Commons Math Issue Type: New Feature Reporter: Aleksei Dievskii Priority: Minor Labels: features, patch Attachments: LOGDENSITY.patch A person working with fairly small probabilities and densities often employs their logarithms to increase precision and decrease the chance of an underflow. However, just taking a log of the probability() or density() return value doesn't necessarily solve the problem, as these methods themselves could have lost precision or underflowed. This patch introduces new logProbability() and logDensity() methods overriden for many relevant distribution. The patch also introduces tests of these new methods. -- This message was sent by Atlassian JIRA (v6.1#6144)
[jira] [Commented] (MATH-1039) Logarithmic probability and density calculations for the distributions
[ https://issues.apache.org/jira/browse/MATH-1039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13794846#comment-13794846 ] Phil Steitz commented on MATH-1039: --- This looks very good and useful. Thanks for the patch! Just a couple of quick comments and I can commit. 1. For 3.3 we can't add to the interfaces, so I suggest to add impls to the abstract parents and hold the add to the interfaces until 4.0. Unless someone screams, I will do that (so just omit the changes to the distribution interfaces) 2. Thanks so much for the careful job on the test cases. Where does the reference data come from? I like to include the source of reference data where possible. Logarithmic probability and density calculations for the distributions -- Key: MATH-1039 URL: https://issues.apache.org/jira/browse/MATH-1039 Project: Commons Math Issue Type: New Feature Reporter: Aleksei Dievskii Priority: Minor Labels: features, patch Attachments: LOGDENSITY.patch A person working with fairly small probabilities and densities often employs their logarithms to increase precision and decrease the chance of an underflow. However, just taking a log of the probability() or density() return value doesn't necessary solve the problem, as these methods themselves could have lost precision or underflowed. This patch introduces new logProbability() and logDensity() methods overriden for many relevant distribution. The patch also introduces tests of these new methods. -- This message was sent by Atlassian JIRA (v6.1#6144)
