Ricardo Fraiman

According to our database, Ricardo Fraiman authored at least 32 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subsampling under distributional constraints.

Florian Combes, Ricardo Fraiman, Badih Ghattas

Stat. Anal. Data Min., February, 2024

2023

A Cramér-Wold theorem for elliptical distributions.

Ricardo Fraiman, Leonardo Moreno, Thomas Ransford

J. Multivar. Anal., 2023

2022

Level set and density estimation on manifolds.

Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno

J. Multivar. Anal., 2022

2019

Connecting pairwise geodesic spheres by depth: DCOPS.

Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno

J. Multivar. Anal., 2019

Editorial for the Special Issue on Functional Data Analysis and Related Topics.

Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu

J. Multivar. Anal., 2019

Recent advances in functional data analysis and high-dimensional statistics.

Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu

J. Multivar. Anal., 2019

Multivariate and functional robust fusion methods for structured Big Data.

Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas

J. Multivar. Anal., 2019

2018

Semi-supervised learning: When and why it works.

Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued

CoRR, 2018

2017

Variability in functional brain networks predicts expertise during action observation.

Lucía Amoruso, Agustín Ibáñez, Bruno Fonseca, Sebastián Gadea, Lucas Sedeño, Mariano Sigman, Adolfo M. García, Ricardo Fraiman, Daniel Fraiman

NeuroImage, 2017

Some hypothesis tests based on random projection.

Ricardo Fraiman, Leonardo Moreno, Sebastian Vallejo

Comput. Stat., 2017

On visual distances for spectrum-type functional data.

Alejandro Cholaquidis, Antonio Cuevas, Ricardo Fraiman

Adv. Data Anal. Classif., 2017

2016

Feature selection for functional data.

Ricardo Fraiman, Yanina Gimenez, Marcela Svarc

J. Multivar. Anal., 2016

A nonlinear aggregation type classifier.

Alejandro Cholaquidis, Ricardo Fraiman, Juan Kalemkerian, Pamela Llop

J. Multivar. Anal., 2016

2014

Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions".

Liliana Forzani, Ricardo Fraiman, Pamela Llop

IEEE Trans. Inf. Theory, 2014

Random average shifted histograms.

Mathias Bourel, Ricardo Fraiman, Badih Ghattas

Comput. Stat. Data Anal., 2014

2013

Resistant estimates for high dimensional and functional data based on random projections.

Ricardo Fraiman, Marcela Svarc

Comput. Stat. Data Anal., 2013

Interpretable clustering using unsupervised binary trees.

Ricardo Fraiman, Badih Ghattas, Marcela Svarc

Adv. Data Anal. Classif., 2013

2012

Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions.

Liliana Forzani, Ricardo Fraiman, Pamela Llop

IEEE Trans. Inf. Theory, 2012

Quantiles for finite and infinite dimensional data.

Ricardo Fraiman, Beatriz Pateiro-López

J. Multivar. Anal., 2012

Corrigendum to "On depth measures and dual statistics. A methodology for dealing with general data" [JMVA 100 (2009) 753-766].

Antonio Cuevas, Ricardo Fraiman

J. Multivar. Anal., 2012

Letter to the editor.

Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán

J. Multivar. Anal., 2012

2011

On local times, density estimation and supervised classification from functional data.

Pamela Llop, Liliana Forzani, Ricardo Fraiman

J. Multivar. Anal., 2011

2010

Pattern recognition via projection-based kNN rules.

Ricardo Fraiman, Ana Justel, Marcela Svarc

Comput. Stat. Data Anal., 2010

2009

On projection-based tests for directional and compositional data.

Juan Antonio Cuesta-Albertos, Antonio Cuevas, Ricardo Fraiman

Stat. Comput., 2009

On depth measures and dual statistics. A methodology for dealing with general data.

Antonio Cuevas, Ricardo Fraiman

J. Multivar. Anal., 2009

Nonparametric likelihood based estimation for a multivariate Lipschitz density.

Daniel Carando, Ricardo Fraiman, Pablo Groisman

J. Multivar. Anal., 2009

2007

Robust estimation and classification for functional data via projection-based depth notions.

Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman

Comput. Stat., 2007

Impartial trimmed k-means for functional data.

Juan Antonio Cuesta-Albertos, Ricardo Fraiman

Comput. Stat. Data Anal., 2007

The random projection method in goodness of fit for functional data.

Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán

Comput. Stat. Data Anal., 2007

2006

On the use of the bootstrap for estimating functions with functional data.

Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman

Comput. Stat. Data Anal., 2006

2004

An anova test for functional data.

Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman

Comput. Stat. Data Anal., 2004

2003

Impartial trimmed means for functional data.

Juan Antonio Cuesta-Albertos, Ricardo Fraiman

Proceedings of the Data Depth: Robust Multivariate Analysis, 2003