daniela rodriguez

vita
research
teaching
students
vita
Mobirise

Positions

Professor - FCEN, UBA.
Researcher - CONICET

Research Interests

Functional data - statistics on Riemannian manifolds - directional data - nonparametric methods - robust estimation.

cv

research

Publications

  • Robust estimation in partially nonlinear models .  Statistical Methods & Applications, (2023). With A. Muñoz
  • Forecasting daily variability discharge in the fluvial system of the Parana River. An ODPC hydrology application”. Hydrological Sciences Journal, (2022). With M. Benjamin and M. Meiss.
  • A statistical tool for a hydrometeorological forecast in the lower La Plata Basin. International Journal of River Basin Management, (2022). With M. Meis, and M. Llano.
  • 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. 
teaching

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.

Course

students

Postdocs

  • Gabriel Martos Venturini. 2017-2018.

Phd  Students

Master  Students

  • Pedro Cossatto. Escalado Multidimensional Métrico en problemas con grandes datos. 2023.
  • Ignacio Stivala. Modelo de Predicción de Compra de Tarjeta de Crédito. 2023.
  • Ian Bounos. Modelo Logístico con Efectos Mixtos: Aplicación a la detección de fraudes en Seguros de Automotores. 2023. Co-directed with Marina Valdora.

Undergraduate Students

Instituto de Cálculo, Ciudad Universitaria Pab. II.
Ciudad de Buenos Aires CP1428 - Argentina

Site was designed with Mobirise