An Overview, Challenges, and Future Directions - SAMSI

Experiments Models Connectivity Prediction Summary
Methods
High-dimensional Data Methods
Develop statistical models, which pool predictive strength across
multiple data modalities
Proposed statistical techniques
Penalized likelihood approaches:
l p (β, λ) = −l(β) + ∑ k λ kP k (β k )
l(β) = ∑ i [y ilogπ i + (1 − y i )log(1 − π i ]
Variable selection or shrinkage
Novel joint multimodal probability models
Model development, training, testing, and validation
F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 73 / 77