About
Manuel Febrero Bande is a Professor in the Department of Statistics and Operations Research at the University of Santiago de Compostela (USC). He specializes in functional data analysis, statistical modeling, and their applications in diverse fields such as biostatistics, environmental science, and forensic medicine. His research focuses on developing novel statistical methodologies for complex data structures, including functional regression models and goodness-of-fit tests for high-dimensional and time-dependent data.
He teaches courses in Probability and Statistics, Machine Learning, and Functional Data Analysis at both undergraduate and graduate levels. Notable contributions include the development of the fda.usc R package for functional data analysis and the IPMICALC software for post-mortem interval estimation. His work bridges theoretical statistics with practical applications, particularly in forensic science and energy production analysis.
Febrero Bande's articles span topics like variable selection in high-dimensional data, nonparametric regression testing, and stochastic volatility modeling. His research emphasizes methodological innovation and computational tools, with applications to environmental monitoring, financial time series, and medical diagnostics.
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