MD Inference

Purpose: Development of statistical inferential methodology for massive and complex data.

Preliminary Partial List of Topics:

Inference for dimension reduction and sparsity.
Inference on class probability estimation for high dimensional classification and learning
Efficient and scalable computational inferential methods in high dimension
Simulation and MCMC for MD using multi-processor environments
Bayesian methods for MD
Multiple testing in complex scenarios
Inference at the interface of application - imaging, astrostatistics, high energy physics and other sources of complex MD