معرفی
Ana Arribas Gil is a Professor at Carlos III University of Madrid, specializing in Functional Data Analysis, Longitudinal Data Analysis, and Statistical Modeling. Her work bridges theoretical statistics with applications in healthcare, demography, and computational biology.
- Research Focus: Functional data methods, Bayesian and penalized regression models, robust statistical techniques, and alignment algorithms.
- Methodology: Develops tools for time warping, outlier detection, and lasso-type regularization in mixed-effects models.
- Applications: Health expectancy estimation, children's well-being metrics, and pregnancy outcome prediction.
Her recent publications emphasize penalized splines, dynamic time warping, and robust high-dimensional analysis. She has contributed open-source tools like the roahd R package for functional data.
۰مقاله ثبتشده
