Daniela Rodríguez, PhD
Researcher - Director
Job: Associate Professor Ded. Exclusiva Inst. de Cálculo / Investigadora Conicet
Office: 2608
Knowledge Transfer:
Applied statistics




PhD in Mathematics. University of Buenos Aires, Argentina.  March 2008. 
Licenciada en Ciencias Matematicas. University of Buenos Aires, Argentina. September 2003.



Independent Researcher at CONICET 1 . From 2011.
Full Professor of Statistics at the Instituto de Cálculo, School of Sciences, University of Buenos
Aires. From 2013.
Chair of the Instituto de Cálculo, School of Sciences, University of Buenos Aires. From 2022.
Member of the Scientific Committee of Union of Mathematical in Latin America and the
Caribbean (UMALCA). From 2021.
Chair of the Academic Committee of Center of High Performance Computing, School of Sciences,
University of Buenos Aires.(CECAR). From 2018.


  • Independent block identification in multivariate time series. Journal of Time Series Analysis. 19-33. (2021). With F. Leonardi, M. Lopez--Rosenfeld,  M. T. F. Severino and M. Sued.
  • Quantifying and modelling the ENSO phenomenon and extreme discharge events relation in the La Plata Basin. Hydrological Sciences Journal. 75-89. (2020). With M. Meis and M. Llano.
  • The breakdown point of the median of means tournament. Statistics and Probability Letters. 108–112. (2019). With M. Valdora. 
  • Robust estimation in partially linear regression models with monotonicity constraints. Journal Communications in Statistics - Simulation and Computation (2019). With M. Valdora and P. Vena. 
  • Robust estimators in a generalized partly linear regression model under monotony constraints”. Test (2019). With G. Boente, and P. Vena. 
  • Sufficient dimension reduction and prediction in regression: asymptotic results. Journal of Multivariate Analysis. 339–349. (2019). With L. Forzani,  E. Smucler, and M. Sued. 
  • The spatial sign covariance operator: Asymptotic results and applications (2018). With G. Boente, and M. Sued. R code implementing the method and scripts reproducing the simulated examples in the paper are available here. 
  • On the accurate estimation of free energies using the Jarzynski equality. Journal of Computational Chemistry.  (2018). With M. Arrar, F. Boubeta, M. Szretter,  M. Sued, and L. Boechi. 
  • Mo1040 – Serum Immunological Mediators are Associated with Anemia in Patients with Celiac Disease. A  Prospective Follow-Up Assessment” Gastroenrerology. (2018) With M, Moreno, H. Vázquez, E. Sugai, S. Nivelo, E. Smecuol, R. Mazure, A. Costa M. Temprano,  M. Sued, M, Szretter, A. Cherñasvsky, A. Gonzalez, E. Mauriño and J. Bai.  
  • Testing equality between several populations covariance operators. Annals of the Institute of Statistical Mathematics, (2017). With G. Boente and M. Sued. 
  • Minimum distance method for directional data and outlier detection. Advances in Data Analysis and Classification, 1-17. (2017). With M. Fernandez Sau.
  • Mechanical coupling of microtubule-dependent motor teams during peroxisome transport in Drosophila S2 cells. Biochimica et Biophysica Acta (BBA) - General Subjects, 3178-318. (2017). With M. C. De Rossi, D. Wetzler, L. Benseñor, M. E. De Rossi, M. Sued, V. Gelfandg, L. Bruno and V. Levi.
  • Técnicas de clasificación supervisada para la discriminación entre ecos meteorológicos y no meteorológicos usando información de radar de banda C. Meteorológica (2017). With S. Suarez, M. Sued, L. Vidal, P. Salio, S. Nesbitt, and Y. Garcia Skabar.
  • On the instability of two entropic dynamical models. Chaos, Solitons and Fractals. 91, 604-609. (2016). With G. Henry. 
  • Asymmetries in kinesin-2 and cytoplasmic dynein contributions to melanosome transport. FEBS Letters. (2015). With M. C. De Rossi, M. E. De Rossi, M. Sued, D. Rodriguez, L. Bruno and V. Levi.
  • Robust estimators in partly linear regression models on Riemannian manifolds. Communications in Statistics: Theory and Methods. (2014). With G. Henry.
  • Goodness-of-fit test for directional data. Scandinavian Journal of Statistics, 41, 259 –275. (2014). With G. Boente and W. Gonzalez-Manteiga.
  • Threshold selection for extreme values under a semiparametric model. Statistical Methods and Applications, 22, 481-500 (2013). With J. Gonzalez and M. Sued.
  • Locally adaptive density estimation on Riemannian Manifolds. Sort: Statistics and Operation Research Transactions, 37, 2, 111-130. (2013). With G. Henry and A. Muñoz.
  • Testing in generalized partially linear models: A robust approach. Statistics and Probability Letters, 83, 203-212 (2013). With G. Boente, R. Cao and W. Gonzalez-Manteiga.
  • A note on the estimation of Holder constant. Comunications in Statistics- Simulation and Computation, 43, 905-912. (2013). With G. Henry and  M. Sued.
  • Partly linear models on Riemannian manifolds. Journal of Applied Statistics, 39, 1797-1809. (2012). With W. Gonzalez-Manteiga and G. Henry.
  • Testing the equality of covariance operators. Recent Advances in functional data analysis and related topics, Springer, 49-53. (2011). With G. Boente and M. Sued.
  • Robust estimates in generalized partially linear singel index models. Test, 21, 386-411, (2011). With G. Boente. Código para R.
  • Robust inference in generalized partially linear models. Computational Statistics and Data Analysis, 54, 2942-2966 (2010). With G. Boente. Código para R.
  • Development of a clinical prediction rule in clinically suspected community-acquired pneumonia. Pediatric Emergency Care, 26, 6. (2010). With M. Bilkis, N. Gorgal, M. Carbone, M. Vazquez, P. Albanese, M. Branda, E. Alterman, L. Orellana and O. Bello Pedrosa.
  • Inference under functional proportional and common principal components models. Journal of Multivariate Analysis, 101, 464-475. (2010). With G. Boente and M. Sued.
  • Robust nonparametric regression on Riemannian manifolds. Journal of Nonparametric Statistics, 1029-0311, 21, 5, 611 - 628. (2009). With G. Henry. Código para Splus.
  • Kernel density estimation on Riemannian manifolds: Asymptotic Results. Journal of Mathematical Imaging and Vision, 34, 235-.239. (2009). With G. Henry. Código para R.
  • Robust Nonparametric Regression on Riemannian Manifolds. Proceedings of the International Seminar on Nonparametric Inference, 149-152. (2008). With G. Henry.
  • Robust inference in generalized partially linear models. Proceedings of the International Seminar on Nonparametric Inference, 45-48. (2008). WithG. Boente, R. Cao and W. Gonzalez – Manteiga.
  • Robust bandwidth selection in semiparametric partly linear regression models: an influential study. Computational Statistics and Data Analysis, 52, 2808-2828. (2008). With G. Boente. Código para Splus.
  • Robust estimators of high order derivatives of regression functions. Statistics and Probability Letters, 76, 1335-1344. (2006). With G. Boente.


Some Talks

  • Agrupa y Reinaras. Semana de la Matematica, FCEN, UBA. Buenos Aires, Argentina, abril 2021.
  • Estimacion de puntos de independencia de un vector aleatorio.  UMA 2020. Reunion Anual de la Union Matematica Argentina. Septiembre 2020.
  • Más datos no siempre es mejor.  SENASA, Ministerio de Agricultura, Ganaderia y Pesca, Argentina. Septiembre de 2019. 
  • Robust estimation in partially nonlinear models. ICORS 2019, (International Conference on Robust Statistics) Guayaquil, Ecuador. Mayo de 2019. 
  • Predicción basada en reducción suficiente de la dimensión. Universidad Carlos III, Madrid, España. Enero de 2018. 
  • El problema del mundo pequeño. Semana de la Matemática, FCEN, UBA. Buenos Aires, Argentina. Abril de 2017. 
  • Estimadores de mı́nima distancia y deteccion de outlilers en datos direccionales. ”. UMA 2015. Reunión Anual de la Unión Matemática Argentina. Santa Fe, Argentina. Septiembre 2015. 
  • Explorando datos. ”Semana de la Matemática, FCEN, UBA. Buenos Aires, Argentina. Abril de 2013. 
  • Goodnesss-of-fit test for directional data. Departamento de Estadı́stica e Invesigación Operativa, Universidad de Santiago de Compostela, España. Febrero 2010. 
  • Nonparametric estimation on Riemannian Maniolds. Departamento de Estadı́stica. Instituto Superior Técnico de Lisboa, Portugal. España. Enero 2010. 

Human Resources Training


  • Gabriel Martos Venturini. 2017-2018.

Phd Students

Undergraduate Students


Teaching Notes

  •  métodos no paramétricos. material del curso dictado en la UNR, Rosario.
  • introducción a los procesos empíricos. Curso dictado en el IMAL, Santa Fe.