
Statistics Professor Bin Nan, motivated by his collaborations in biomedical studies, is developing new theories and methods that will lead to more reliable results in high-dimensional statistical inference with potential applications in genetics and brain imaging studies. The National Science Foundation (NSF) recently awarded him $200,000 over three years for his grant, “High-Dimensional Inference beyond Linear Models.” The research is focused on finding ways to better address the bias issue for estimates in nonlinear models with a large number of predictors.
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