Výsledky vyhledávání - "Mariela Sued"

Robust doubly protected estimators for quantiles with missing data

Autor: Victor J. Yohai, Marina Valdora, Mariela Sued

Publikováno v: TEST. 29:819-843

Doubly protected methods are widely used for estimating the population mean of an outcome Y from a sample where the response is missing in some individuals. To compensate for the missing responses, a vector $$\mathbf {X}$$ of covariates is observed a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ad71b8336498c2d14de5a810737af7d
https://doi.org/10.1007/s11749-019-00689-9

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Sufficient dimension reduction and prediction in regression: Asymptotic results

Autor: Ezequiel Smucler, Mariela Sued, Daniela Rodriguez, Liliana Forzani

Publikováno v: Journal of Multivariate Analysis. 171:339-349

We consider model-based sufficient dimension reduction for generalized linear models and prove the consistency and asymptotic normality of the prediction estimator studied empirically for the normal case by Adragni and Cook (2009) when a sample versi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::492663ad4975cfc03def9d54b3996213
https://doi.org/10.1016/j.jmva.2018.12.003

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Independent block identification in multivariate time series

Autor: Magno T. F. Severino, Daniela Rodriguez, Matías Lopez-Rosenfeld, Florencia Leonardi, Mariela Sued

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In this‐30 work we propose a model selection criterion to estimate the points of independence of a random vector, producing a decomposition of the vector distribution function into independent blocks. The method, based on a general estimator of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa1fbc4c985d422a27dd514339ba503

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

Autor: Marina Valdora, Julieta Molina, Mariela Sued

Publikováno v: Statistics in Medicine. 37:3503-3518

Generalized linear models are often assumed to fit propensity scores, which are used to compute inverse probability weighted (IPW) estimators. To derive the asymptotic properties of IPW estimators, the propensity score is supposed to be bounded away

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72fcf0ebc643ae602a8c3b3bd401d261
https://doi.org/10.1002/sim.7827

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Akademický článek

International study to evaluate PCR methods for detection of Trypanosoma cruzi DNA in blood samples from Chagas disease patients.

Publikováno v: PLoS Neglected Tropical Diseases, Vol 5, Iss 1, p e931 (2011)

BACKGROUND: A century after its discovery, Chagas disease still represents a major neglected tropical threat. Accurate diagnostics tools as well as surrogate markers of parasitological response to treatment are research priorities in the field. The p

Externí odkaz: https://doaj.org/article/26a5c566ac714c8ea7c4461ce8d620d5

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High breakdown point robust estimators with missing data

Autor: Florencia Statti, Victor J. Yohai, Mariela Sued

Publikováno v: Communications in Statistics - Theory and Methods. 47:5145-5162

In this paper, we propose a new procedure to estimate the distribution of a variable y when there are missing data. To compensate the presence of missing responses, it is assumed that a covariate vector x is observed and that y and x are related by m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5174ec72135aedba149c8d276bd9450c
https://doi.org/10.1080/03610926.2017.1388396

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Testing equality between several populations covariance operators

Autor: Graciela Boente, Daniela Rodriguez, Mariela Sued

Publikováno v: Annals of the Institute of Statistical Mathematics. 70:919-950

In many situations, when dealing with several populations, equality of the covariance operators is assumed. An important issue is to study whether this assumption holds before making other inferences. In this paper, we develop a test for comparing co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a883cbb2e72e49ce1af9aff5b37a76ac
https://doi.org/10.1007/s10463-017-0613-1

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Multiple robustness in factorized likelihood models

Autor: James M. Robins, Mariela Sued, J Molina, Andrea Rotnitzky

Publikováno v: Biometrika
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

We consider inference under a nonparametric or semiparametric model with likelihood that factorizes as the product of two or more variation-independent factors.We are interested in a finitedimensional parameter that depends on only one of the likelih

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c865573ee2f936027b681efd0fa0358
http://europepmc.org/articles/PMC5793686

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