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ICP

Seminar

Multiscale Change Point Inference

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

Seminar Room 1, Newton Institute

Abstract

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.

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