Statistical Data Science group (SDS)

Researchers

Research Lines

Design and development of functional time series visualization tools
Design and development of robust prediction and classification tools for weighted data, and viable for massive data
Design of protocols for analysis and visualization of the temporal and spatial evolution of phenomena of interest
Development of imputation techniques from point depths
Development of unsupervised statistical learning techniques for obtaining robust profiles
Outlier detection techniques for heterogeneous multivariate weighted data
Outlier detection techniques in functional time series
Software development in R, Matlab and Python