Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process
Author:
Affiliation:
1. Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China
2. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA
3. Department of Biostatistics, University of Michigan, Ann Arbor, MI
Funder
National Institute of General Medical Sciences
National Institute of Mental Health
National Institute on Drug Abuse
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2123336
Reference76 articles.
1. 10.1162/153244303768966085
2. Gaussian predictive process models for large spatial data sets
3. Optimal predictive model selection
4. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
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