Dr. Ana-Maria Staicu, Assistant Professor, Statistics Department
North Carolina State University
We introduce a novel class of models for functional data exhibiting skewness or other shape characteristics that vary with spatial location. Such data are not envisaged by the current approaches to model functional data, due to the lack of Gaussian – like features. Our methodology allows modeling the pointwise quantiles, has interpretability advantages and is computationally feasible. The methods were motivated by and are illustrated with a state-of-the-art study of neuronal tracts in multiple sclerosis patients and healthy controls.
Ana-Maria Staicu [styku] received her Ph.D. in Statistics from University of Toronto in 2007, under the direction of Nancy Reid. She did postdoctoral studies at the University of Bristol, UK, and has joined the Department of Statistics at NC State University since 2009. Her research interests include functional data analysis, likelihood methods, applications in biostatistics.