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Statistical Approaches for Exploring Brain Connectivity with Multimodal Neuroimaging Data
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Spatial Bayesian Model Selection with Nonlocal Prior
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Spatial and spatial-temporal point process analysis
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Bayesian Feature Selection Methods for Complex Biomedical Data
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Some Novel Statistical Methods for Neuroimaging Data Analysis
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Apply Group ICA Method into fMRI Analysis Using GIFT Package and
Regression Models
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Statistical Methods for Multi-modal Neuroimaging Data: Techniques
for the Combined Analysis of Brain Function and Structure
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Efficient Classification for Ultra High Dimensional Variable Selection
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Models for Statistical Analyses of Infectious Disease Data
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