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Summer 1974

Daniel Gervini
Associate Professor


Office
 Department of Mathematical Sciences
3200 N Cramer St
EMS Building, Room E487
Milwaukee, WI 53211, USA
Mail
 Department of Mathematical Sciences
P.O. Box 413
Milwaukee, WI 53201, USA
Email  gervini@uwm.edu
Phone  (414) 229 5270
Fax  (414) 229 4907
Switzerland 2006




Brief Biography
  • Ph.D. in Mathematics, University of Buenos Aires, 1999.
  • Visiting Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign, 1999-2001.
  • Postdoc, Department of Biostatistics, University of Zürich, 2001-2004.
  • Assistant Professor, this Department, 2004-2008; promoted to Associate Professor with tenure in June 2008.

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.


Matlab Programs
  Robust FDA

Major Publications

Note: Matlab programs for these papers are available here

  1. Gervini, D. (200x). The functional singular value decomposition for bivariate stochastic processes. Submitted. (Technical Report available.)
  2. Gervini, D. (2009). Detecting and handling outlying trajectories in irregularly sampled functional datasets. To appear in the Annals of Applied Statistics. (Technical Report available.)
  3. Gervini, D. (2008). Robust functional estimation using the spatial median and spherical principal components. Biometrika 95 587-600. (Technical Supplement available.)
  4. Gervini, D. (2006). Free-knot spline smoothing for functional data. Journal of the Royal Statistical Society (Series B) 68 671-687.
  5. Gervini, D. and Gasser, T. (2005). Nonparametric maximum likelihood estimation of the structural mean of a sample of curves. Biometrika 92 801-820. 
  6. Gervini, D. (2005). Robust adaptive estimators for binary regression models. Journal of Statistical Planning and Inference 131 297-311.  
  7. Gervini, D. and Gasser, T. (2004). Self-modeling warping functions.  Journal of the Royal Statistical Society (Series B) 66 959-971. (An earlier version with more asymptotic stuff is here.)
  8. Gervini, D. and Rousson, V. (2004). Criteria for evaluating dimension-reducing components for multivariate data.  The American Statistician 58 72-76. (Technical Report available.)
  9. Gasser, T., Gervini, D. and Molinari, L. (2004). Kernel estimation, shape-invariant modeling and structural analysis.  In Methods in Human Growth Research (eds. R. Hauspie, N. Cameron and L. Molinari), pp. 179-204. Cambridge University Press.
  10. Gervini, D. (2003). A robust and efficient adaptive reweighted estimator of multivariate location and scatter. Journal of Multivariate Analysis 84 116-144. 
  11. Gervini, D. (2002). The influence function of the Stahel-Donoho estimator of multivariate location and scatter. Statistics & Probability Letters 60 425-435.
  12. Gervini, D. and Yohai, V.J. (2002). A class of robust and fully efficient regression estimators. Annals of Statistics 30 583-616. 
  13. Gervini, D. and Yohai, V.J. (1998). Robust estimation of variance components. Canadian Journal of Statistics 26 419-430.

Supervised Master's Theses

  1. Hürtgen, H. and Gervini, D. (2008). Semiparametric shape-invariant models for periodic data. To appear in the Journal of Applied Statistics.
  2. Rühlicke, R. and Gervini, D. (2008). Logistic discrimination with total variation regularization. Communications in Statistics - Simulation and Computation 37 1825-1838.
  3. Auer, P. and Gervini, D. (2008). Choosing principal components: a new graphical method based on Bayesian model selection.  Communications in Statistics - Simulation and Computation 37 962-977.

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Last updated: 22 May 2009, 10:00 hs