PMM-Lab / Tickets / #52 Investigate problems with covariance matrix computation

#52 Investigate problems with covariance matrix computation

Milestone: 2.0

Status: open

Owner: Christian Thöns

Labels: None

Priority: High

Updated: 2013-01-16

Created: 2013-01-08

Creator: Christian Thöns

Private: No

In apache.commons.math a matrix inversion is done to compute the the covariance matrix. In some cases the inversion cannot be done, because the matrix is singular. In these cases no covariances, parameter errors, ... are given. Therefore we should try to find a workaround for these cases.

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Christian Thöns - 2013-01-09

One possible workaround would be to use Bootstrapping for computing the covariance matrix. http://www.math.ubc.ca/GGTSPU-argusgate02.bfr.bund.de-2872-911822-oY5FNZ88UXnQ6QGV-DAT/~keshet/MCB2012/SlidesDodo/DataFitLect3.pdf

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Matthias Filter - 2013-01-09

I like this idea!

http://www.math.ubc.ca/~keshet/MCB2012/SlidesDodo/DataFitLect3.pdf

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Christian Thöns - 2013-01-16

milestone: 1.0 --> 2.0
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Investigate problems with covariance matrix computation

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#52 Investigate problems with covariance matrix computation

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