Author

Kun Yue

University of WashingtonORCID 0000-0001-8850-2758Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ali ShojaieiD· 2 shared Hesamoddin JahanianiD· 1 shared Jason M. WebsteriD· 1 shared Jing MaiD· 1 shared Thomas J. GrabowskiiD· 1 shared Timothy A. ThorntoniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersNeuroscience

Ali ShojaieORCID

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2 papers

Recent·Most cited

NeuroscienceAperture NeuroPeer-reviewedAug 28, 2025

Unraveling Alzheimer's Disease: Investigating Dynamic Functional Connectivity in the Default Mode Network through DCC-GARCH Modeling

Kun Yue, Jason M. Webster, Thomas J. Grabowski…·Ali Shojaie

This study uses DCC-GARCH modeling on rs-fMRI data to analyze dynamic functional connectivity in Alzheimer's disease, showing improved sensitivity to CSF Aβ status compared to current methods.

1 citation

humanimaging

𝕏 PostBluesky

GeneticsGenetic EpidemiologyPeer-reviewedOct 17, 2021

REHE: Fast Variance Components Estimation for Linear Mixed Models

Kun Yue, Jing Ma, Timothy A. Thornton, Ali Shojaie

The paper introduces REHE and reREHE methods for fast and robust variance components estimation in linear mixed models, providing non-negative estimates comparable to REML.

3 citations

statistical modelBayesian inference

𝕏 PostBluesky