My research is fully motivated by the scientific questions. I am interested in developing valid and suitable statistical methodolies to detect, explain and validate scientific problems from challenging data sets. The major scientific questions I am interested are related to brain imaging -- 1) to study the development of human brain in children and its effect; 2) to understand the relationship between psychological disorder and the measures of different brain images; 3) to explore the mechanism of human brain network and how it affects our human life.
S.M.A.R.T. Statistical Methods and Applications for Research in Technology
- refund, Methodology for regression with functional data
- vows, Parametric and semiparametric inference for massively parallel models, i.e., a large number of models with common design matrix, as often occurs with brain imaging data.
- reams, Resampling methods for adaptive linear model selection. These can be thought of as extensions of the Akaike information criterion that account for searching among candidate models.