The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content



Multiscale Change Point Inference

Munk, A (University of Goettingen)
Tuesday 14 January 2014, 11:30-12:15

Seminar Room 1, Newton Institute


Statistical MUltiscale Change point Estimation (SMUCE) is an inference tool for estimation and confidence statements about a change-point function and its main characteristics location, size and number of jumps. SMUCE detects these features on all scales in an optimal fashion. Fast computation of SMUCE via dynamic programming is addressed and data from ion channel recordings, photo emission spectroscopy and CGH array analysis will be analyzed.


The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧