Ricardo Fraiman

32 papers Journal 31Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Subsampling under distributional constraints.
Stat. Anal. Data Min.
Florian Combes, Ricardo Fraiman, Badih Ghattas
2023 J jnl
A Cramér-Wold theorem for elliptical distributions.
J. Multivar. Anal.
Ricardo Fraiman, Leonardo Moreno, Thomas Ransford
2022 J jnl
Level set and density estimation on manifolds.
J. Multivar. Anal.
Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
2019 J jnl
Connecting pairwise geodesic spheres by depth: DCOPS.
J. Multivar. Anal.
Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
2019 J jnl
Editorial for the Special Issue on Functional Data Analysis and Related Topics.
J. Multivar. Anal.
Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu
2019 J jnl
Multivariate and functional robust fusion methods for structured Big Data.
J. Multivar. Anal.
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas
2019 J jnl
Recent advances in functional data analysis and high-dimensional statistics.
J. Multivar. Anal.
Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu
2018 J jnl
Semi-supervised learning: When and why it works.
CoRR
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
2017 J jnl
On visual distances for spectrum-type functional data.
Adv. Data Anal. Classif.
Alejandro Cholaquidis, Antonio Cuevas, Ricardo Fraiman
2017 J jnl
Some hypothesis tests based on random projection.
Comput. Stat.
Ricardo Fraiman, Leonardo Moreno, Sebastian Vallejo
2017 J jnl
Variability in functional brain networks predicts expertise during action observation.
NeuroImage
Lucía Amoruso, Agustín Ibáñez, Bruno Fonseca, Sebastián Gadea, Lucas Sedeño, Mariano Sigman, Adolfo M. García, Ricardo Fraiman, Daniel Fraiman
2016 J jnl
A nonlinear aggregation type classifier.
J. Multivar. Anal.
Alejandro Cholaquidis, Ricardo Fraiman, Juan Kalemkerian, Pamela Llop
2016 J jnl
Feature selection for functional data.
J. Multivar. Anal.
Ricardo Fraiman, Yanina Gimenez, Marcela Svarc
2014 J jnl
Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions".
IEEE Trans. Inf. Theory
Liliana Forzani, Ricardo Fraiman, Pamela Llop
2014 J jnl
Random average shifted histograms.
Comput. Stat. Data Anal.
Mathias Bourel, Ricardo Fraiman, Badih Ghattas
2013 J jnl
Interpretable clustering using unsupervised binary trees.
Adv. Data Anal. Classif.
Ricardo Fraiman, Badih Ghattas, Marcela Svarc
2013 J jnl
Resistant estimates for high dimensional and functional data based on random projections.
Comput. Stat. Data Anal.
Ricardo Fraiman, Marcela Svarc
2012 J jnl
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions.
IEEE Trans. Inf. Theory
Liliana Forzani, Ricardo Fraiman, Pamela Llop
2012 J jnl
Corrigendum to "On depth measures and dual statistics. A methodology for dealing with general data" [JMVA 100 (2009) 753-766].
J. Multivar. Anal.
Antonio Cuevas, Ricardo Fraiman
2012 J jnl
Letter to the editor.
J. Multivar. Anal.
Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán
2012 J jnl
Quantiles for finite and infinite dimensional data.
J. Multivar. Anal.
Ricardo Fraiman, Beatriz Pateiro-López
2011 J jnl
On local times, density estimation and supervised classification from functional data.
J. Multivar. Anal.
Pamela Llop, Liliana Forzani, Ricardo Fraiman
2010 J jnl
Pattern recognition via projection-based kNN rules.
Comput. Stat. Data Anal.
Ricardo Fraiman, Ana Justel, Marcela Svarc
2009 J jnl
Nonparametric likelihood based estimation for a multivariate Lipschitz density.
J. Multivar. Anal.
Daniel Carando, Ricardo Fraiman, Pablo Groisman
2009 J jnl
On depth measures and dual statistics. A methodology for dealing with general data.
J. Multivar. Anal.
Antonio Cuevas, Ricardo Fraiman
2009 J jnl
On projection-based tests for directional and compositional data.
Stat. Comput.
Juan Antonio Cuesta-Albertos, Antonio Cuevas, Ricardo Fraiman
2007 J jnl
Impartial trimmed k-means for functional data.
Comput. Stat. Data Anal.
Juan Antonio Cuesta-Albertos, Ricardo Fraiman
2007 J jnl
Robust estimation and classification for functional data via projection-based depth notions.
Comput. Stat.
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
2007 J jnl
The random projection method in goodness of fit for functional data.
Comput. Stat. Data Anal.
Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán
2006 J jnl
On the use of the bootstrap for estimating functions with functional data.
Comput. Stat. Data Anal.
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
2004 J jnl
An anova test for functional data.
Comput. Stat. Data Anal.
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
2003 — conf
Impartial trimmed means for functional data.
Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications
Juan Antonio Cuesta-Albertos, Ricardo Fraiman