
Daniel Gervini
Professor; Data Science Undergraduate Coordinator
Mathematical Sciences - General
Web: Personal Website
Educational Degrees
- PhD Mathematics, University of Buenos Aires, 1999
- MS Mathematics, University of Buenos Aires, 1995
Research Positions
- Postdoc, Department of Biostatistics, University of Zürich, 2001-2004
- Research Fellow, Department of Mathematics, University of Buenos Aires, 1996-1999
Research Interests
- Functional Data Analysis (i.e. statistical analysis of samples of functions)
- Robust Statistics (i.e. outlier-resistant estimation methods)
- Nonparametric Statistics
- Multivariate Analysis
Selected Service and Projects
- Robust functional estimation using the spatial median and spherical principal components.Biometrika 95 (2008), 587-600.
- Choosing principal components: a new graphical method based on Bayesian model selection.Communications in Statistics - Simulation and Computation, 37 (2008), 962-977, with P. Auer.
- Logistic discrimination with total variation regularization. Communications in Statistics - Simulation and Computation, 37 (2008), 1825-1838, with R. Rühlicke.
Selected Publications
Gervini, Daniel, and Baur, Tyler J.“Joint models for grid point and response processes in longitudinal and functional data” Statistica Sinica().
Gervini, Daniel, and Khanal, Manoj. “Exploring patterns of demand in bike sharing systems via replicated point process models” Journal of the Royal Statistical Society Series C: Applied Statistics68. (2019): 585-602.
Gervini, Daniel, and . “Independent component models for replicated point processes” Spatial Statistics18. (2016): 474-488.
Gervini, Daniel. “Dynamic retrospective regression for functional data” Technometrics57. (2015): 26-34.
Gervini, Daniel. “Warped functional regression” Biometrika102. (2015): 1-14.
Gervini, Daniel. “Analysis of Aneurisk65 data: warped logistic discrimination” Electronic Journal of Statistics8. (2014): 1930-1936.
Gervini, Daniel. “Warped Functional Analysis of Variance” Biometrics70. (2014): 526-535.
Gervini, Daniel. “Outlier detection and trimmed estimation for general functional data” Statistica Sinica22. (2012): 1639-1660.