Efficient Moments-Based Permutation Tests: A Framework, Methods and Applications

The key and only assumption for permutation tests is data exchangeability. In real applications, the data exchangeability condition is not always valid. In order to preserve the exchangeability condition required in permutation tests, we propose a new blockwise permutation test approach based on the moments of the test statistic. The accuracy and efficiency of the proposed method are demonstrated through simulated experiments and magnetic resonance imaging (MRI) brain data, including the multi-site voxel-based morphometry analysis from structural MRI (sMRI) and activation detection from functional MRI (fMRI).

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Zhou, Chunxiao

Contributors dc:contributor

• Yongmei Michelle Wang

• Engineering, Biomedical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3395563

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81153