Manuel Febrero-Bande

Manuel Febrero-Bande is a Professor of Statistics and Operations Research at the University of Santiago de Compostela, affiliated with the Department of Statistics, Mathematical Analysis and Optimization under the Faculty of Mathematics. He earned his PhD in 1995 with a thesis on time series modeling. His research focuses on functional data analysis, time series, bootstrap methods, and computational statistics, with applications in environmental control, finance, and health. He co-developed the R package fda.usc, a key tool in functional data analysis. Febrero-Bande has coordinated academic programs like the Master in Statistical Techniques and the Doctoral Program in Statistics and Operations Research. His work emphasizes statistical methodology and interdisciplinary applications, with over 30 peer-reviewed publications and contributions to software development.

Key research trends include functional data classification (e.g., Bitcoin address analysis), variable selection in additive models, and goodness-of-fit testing for functional linear models. He has explored applications in fields like forensic science (post-mortem interval estimation) and malaria transmission dynamics. His collaborative projects span institutions in Spain and internationally, reflecting a commitment to both theoretical and applied statistics.

He has advised numerous students, though explicit student names are not listed. Awards are not mentioned, but his contributions to statistical software (e.g., fda.usc) and leadership in academic programs highlight his impact. His research often addresses real-world problems, integrating computational methods with statistical rigor.