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20232026
most citedBayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Mixed Membership Model of Low-rank Matrices with Multimodal Extension

David Snider, Zhongyuan Lyu, Jian Kang +1

Matrix-valued observations arise in multiplex networks, neuroimaging, and other domains where population-level patterns are often low-rank and subjects may express several latent p…

stat.ME2026

Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance

Guoxuan Ma, Yuan Zhong, Moyan Li +2

Electroencephalography (EEG)-based P300 brain-computer interfaces (BCIs) enable communication without physical movement by detecting stimulus-evoked neural responses. Accurate and…

stat.ME2025

SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies

Yuan Zhong, Gang Chen, Paul A. Taylor +1

Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional ma…

stat.ME2025

What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients

Jiahao Cao, Qingpo Cai, Lance A. Waller +3

Basketball shot charts provide valuable information regarding local patterns of in-game performance to coaches, players, sports analysts, and statisticians. The spatial patterns of…

stat.ME2024

Bayesian thresholded modeling for integrating brain node and network predictors

Zhe Sun, Wanwan Xu, Tianxi Li +3

Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data colle…

stat.ME2023★ 4 cited

Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes

Guoxuan Ma, Jian Kang, Tianwei Yu

Untargeted metabolomics based on liquid chromatography-mass spectrometry technology is quickly gaining widespread application given its ability to depict the global metabolic patte…