M. Sued

发表

Improved double-robust estimation in missing data and causal inference models.

J. Robins, A. Rotnitzky, Quanhong Lei, 2012, Biometrika.

Comment: Performance of Double-Robust Estimators When “Inverse Probability” Weights Are Highly Variable

J. Robins, A. Rotnitzky, M. Sued, 2007, 0804.2965.

Continuity and differentiability of regression M functionals

V. Yohai, R. Maronna, M. Sued, 2010, 1004.4314.

Robust location estimation with missing data

V. Yohai, M. Sued, 2010, 1004.5418.

On the asymptotic behavior of general projection-pursuit estimators under the common principal components model

G. Boente, M. Sued, J. Molina, 2010 .

Testing equality between several populations covariance operators

Mariela Sued, Graciela Boente, Daniela Rodriguez, 2014, 1404.7080.

Lessons learned about steered molecular dynamics simulations and free energy calculations

M. Sued, D. Estrin, L. Boechi, 2019, Chemical biology & drug design.

ST ] 1 2 O ct 2 01 7 Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalised linear models

L. Forzani, M. Sued, E. Bura, 2017 .

Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models

L. Forzani, M. Sued, E. Bura, 2017, Statistics.

Regularity properties of the diffusion coefficient for a mean zero exclusion process

M. Sued, 2005 .

Hydrodynamic Limit of Asymmetric Exclusion Processes Under Diffusive Scaling in d≥3

C. Landim, M. Sued, G. Valle, 2003, math/0305398.

ST ] 1 1 A pr 2 01 8 The spatial sign covariance operator : Asymptotic results and applications

G. Boente, M. Sued, 2018 .

Double-robust and efficient methods for estimating the causal effects of a binary treatment

J. Robins, A. Rotnitzky, M. Sued, 2020, 2008.00507.

Continuity and differentiability of regression M-estimates

V. Yohai, R. Maronna, M. Sued, 2010 .

Asymmetries in kinesin‐2 and cytoplasmic dynein contributions to melanosome transport

M. Sued, V. Levi, L. Bruno, 2015, FEBS letters.

Testing equality between several populations covariance operators

G. Boente, M. Sued, Daniela Rodriguez, 2017, Annals of the Institute of Statistical Mathematics.

Threshold selection for extremes under a semiparametric model

M. Sued, Daniela Rodríguez, Juan Gonzalez, 2013, Statistical Methods & Applications.

Hydrodynamic Limit of Asymmetric Exclusion Processes Under Diffusive Scaling in d≥3

C. Landim, M. Sued, G. Valle, 2003, math/0305398.

Nonparametric regression with non-Gaussian long memory

M. Sued, S. Torres, 2013 .

On semi-supervised learning

Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued, 2018, TEST.

Semi-supervised learning: When and why it works pdf

Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued, 2018, ArXiv.

Mechanical coupling of microtubule-dependent motor teams during peroxisome transport in Drosophila S2 cells.

M. Sued, V. Levi, Vladimir Gelfand, 2017, Biochimica et biophysica acta. General subjects.

Mean estimation with data missing at random for functional covariables

Mariela Sued, Frédéric Ferraty, Philippe Vieu, 2013 .

An Inequality for Oriented 2-D Percolation

M. Sued, E. Andjel, 2008 .

Robust doubly protected estimators for quantiles with missing data

V. Yohai, M. Sued, M. Valdora, 2017, TEST.

A Note on the Estimation of the Hölder Constant

Mariela Sued, Daniela Rodriguez, Guillermo Henry, 2014, Commun. Stat. Simul. Comput..

First-principles molecular dynamics simulations at solid-liquid interfaces with a continuum solvent.

Mariela Sued, M. Sued, D. Scherlis, 2009, The Journal of chemical physics.

Threshold selection for extremes under a semiparametric model

Juan Gonzalez, Mariela Sued, Daniela Rodriguez, 2013, Stat. Methods Appl..

The spatial sign covariance operator: Asymptotic results and applications

Mariela Sued, Graciela Boente, Daniela Rodriguez, 2018, J. Multivar. Anal..

On the accurate estimation of free energies using the jarzynski equality

Mariela Sued, Leonardo Boechi, Daniela Rodriguez, 2019, J. Comput. Chem..

A quantitative model for oxygen uptake and release in a family of hemeproteins

Mariela Sued, Dario A. Estrin, Marcelo A. Marti, 2016, Bioinform..

Sufficient dimension reduction and prediction in regression: Asymptotic results

Mariela Sued, Ezequiel Smucler, Liliana Forzani, 2019, J. Multivar. Anal..

High breakdown point robust estimators with missing data

V. Yohai, M. Sued, Florencia Statti, 2018 .

Multiple robustness in factorized likelihood models

A. Rotnitzky, M. Sued, J. Molina, 2017, Biometrika.

Semi-supervised learning

R. Fraiman, M. Sued, A. Cholaquidis, 2017, 1709.05673.

A test for the equality of covariance operators

Mariela Sued, Graciela Boente, Daniela Rodriguez, 2014 .

Inference under functional proportional and common principal component models

Mariela Sued, Graciela Boente, Daniela Rodriguez, 2010, J. Multivar. Anal..

Testing the Equality of Covariance Operators

Mariela Sued, Graciela Boente, Daniela Rodriguez, 2011 .

Functional common principal components models

G. Boente, M. Sued, Daniela Rodriguez, 2010 .

Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation

L. Forzani, M. Sued, Daniela Rodríguez, 2023, 2306.10537.

Models for the propensity score that contemplate the positivity assumption and their application to missing data and causality

M. Sued, J. Molina, Marina Valdora, 2017, Statistics in medicine.

Independent block identification in multivariate time series

F. Leonardi, Matías Lopez-Rosenfeld, M. Sued, 2020, Journal of Time Series Analysis.