Author

Yunan Zhu

University of AlbertaORCID 0000-0001-9131-5363Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Ivor CribbeniD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

1 paper

Recent·Most cited

NeuroscienceBrain ConnectivityPeer-reviewedMar 29, 2018

Sparse graphical models for functional connectivity networks: best methods and the autocorrelation issue

Yunan Zhu, Ivor Cribben

This paper evaluates sparse graphical models for functional brain networks, finding SCAD with BIC and CV is best, and autocorrelation harms estimation but is mitigated by CV.

39 citations

imagingstatistical model

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