217 Old Chemistry Bldg, Box 90251
Durham, NC 27708-0251
Li Ma, PhD
Research in high-dimensional inference, nonparametric methods, Bayesian modeling, and biostatistics. Tackling statistical and computational challenges in analyzing big data. A recent focus of my research is on using multi-scale techniques to construct flexible probability models that can be applied to massive data sets. Traditional nonparametric approaches, while enjoying many established theoretical properties, are often computationally intractable for big data. Multi-scale inference provides a general framework for tackling the computational bottleneck, while preserving the theoretical guarantees enjoyed by classical methods.
Adaptive multi-resolution inference
Recursive partitioning and tree-related methods
Applied statistics, especially biological applications