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Summer 1974

Daniel Gervini
Assistant Professor
2004 - present


Physical
address
  Department of Mathematical Sciences
 3200 N Cramer St
 EMS Building, Room E487
 Milwaukee, WI 53211, USA
Mail
address
  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 Bio

  • 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

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). Robust location and principal-component estimators for sparse functional data. Submitted. (See the Technical Report for proofs and technical details.)
  2. Gervini, D. (2008). Robust functional estimation using the spatial median and spherical principal components. To appear in Biometrika. (See the Technical Supplement for proofs and technical details.)
  3. Gervini, D. (2006). Free-knot spline smoothing for functional data. Journal of the Royal Statistical Society (Series B) 68 671-687.
  4. Gervini, D. and Gasser, T. (2005). Nonparametric maximum likelihood estimation of the structural mean of a sample of curves. Biometrika 92 801-820. 
  5. Gervini, D. (2005). Robust adaptive estimators for binary regression models. Journal of Statistical Planning and Inference 131 297-311.  
  6. 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 ).
  7. Gervini, D. and Rousson, V. (2004). Criteria for evaluating dimension-reducing components for multivariate data.  The American Statistician 58 72-76. (The Technical Report is here ).
  8. 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.
  9. Gervini, D. (2003). A robust and efficient adaptive reweighted estimator of multivariate location and scatter. Journal of Multivariate Analysis 84 116-144. 
  10. Gervini, D. (2002). The influence function of the Stahel-Donoho estimator of multivariate location and scatter. Statistics & Probability Letters 60 425-435.
  11. Gervini, D. and Yohai, V.J. (2002). A class of robust and fully efficient regression estimators. Annals of Statistics 30 583-616. 
  12. 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. (200x). Semiparametric shape-invariant models for periodic data. Submitted.
  2. Rühlicke, R. and Gervini, D. (2008). Logistic discrimination with total variation regularization. To appear in Communications in Statistics - Simulation and Computation.
  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: 9 May 2008, 21:00 hs