Ricardo Fraiman

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Nonparametric Regression

Top Venues

J. Multivar. Anal.

IEEE Trans. Inf. Theory

Stat. Anal. Data Min.

Publications

Florian Combes, Ricardo Fraiman, Badih Ghattas
Subsampling under distributional constraints. Stat. Anal. Data Min. 17 (1) (2024)
Ricardo Fraiman, Leonardo Moreno, Thomas Ransford
A Cramér-Wold theorem for elliptical distributions. J. Multivar. Anal. 196 (2023)
Alejandro Cholaquidis, Ricardo Fraiman, Leonardo Moreno
Level set and density estimation on manifolds. J. Multivar. Anal. 189 (2022)
Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu
Editorial for the Special Issue on Functional Data Analysis and Related Topics. J. Multivar. Anal. 170 (2019)
Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu
Recent advances in functional data analysis and high-dimensional statistics. J. Multivar. Anal. 170 (2019)
Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
Connecting pairwise geodesic spheres by depth: DCOPS. J. Multivar. Anal. 169 (2019)
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas
Multivariate and functional robust fusion methods for structured Big Data. J. Multivar. Anal. 170 (2019)
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
Semi-supervised learning: When and why it works. CoRR (2018)
Lucía Amoruso, Agustín Ibáñez, Bruno Fonseca, Sebastián Gadea, Lucas Sedeño, Mariano Sigman, Adolfo M. García, Ricardo Fraiman, Daniel Fraiman
Variability in functional brain networks predicts expertise during action observation. NeuroImage 146 (2017)
Ricardo Fraiman, Leonardo Moreno, Sebastian Vallejo
Some hypothesis tests based on random projection. Comput. Stat. 32 (3) (2017)
Alejandro Cholaquidis, Antonio Cuevas, Ricardo Fraiman
On visual distances for spectrum-type functional data. Adv. Data Anal. Classif. 11 (1) (2017)
Alejandro Cholaquidis, Ricardo Fraiman, Juan Kalemkerian, Pamela Llop
A nonlinear aggregation type classifier. J. Multivar. Anal. 146 (2016)
Ricardo Fraiman, Yanina Gimenez, Marcela Svarc
Feature selection for functional data. J. Multivar. Anal. 146 (2016)
Liliana Forzani, Ricardo Fraiman, Pamela Llop
Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions". IEEE Trans. Inf. Theory 60 (5) (2014)
Mathias Bourel, Ricardo Fraiman, Badih Ghattas
Random average shifted histograms. Comput. Stat. Data Anal. 79 (2014)
Ricardo Fraiman, Badih Ghattas, Marcela Svarc
Interpretable clustering using unsupervised binary trees. Adv. Data Anal. Classif. 7 (2) (2013)
Ricardo Fraiman, Marcela Svarc
Resistant estimates for high dimensional and functional data based on random projections. Comput. Stat. Data Anal. 58 (2013)
Antonio Cuevas, Ricardo Fraiman
Corrigendum to "On depth measures and dual statistics. A methodology for dealing with general data" [JMVA 100 (2009) 753-766]. J. Multivar. Anal. 112 (2012)
Ricardo Fraiman, Beatriz Pateiro-López
Quantiles for finite and infinite dimensional data. J. Multivar. Anal. 108 (2012)
Liliana Forzani, Ricardo Fraiman, Pamela Llop
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions. IEEE Trans. Inf. Theory 58 (11) (2012)
Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán
Letter to the editor. J. Multivar. Anal. 103 (1) (2012)
Pamela Llop, Liliana Forzani, Ricardo Fraiman
On local times, density estimation and supervised classification from functional data. J. Multivar. Anal. 102 (1) (2011)
Ricardo Fraiman, Ana Justel, Marcela Svarc
Pattern recognition via projection-based kNN rules. Comput. Stat. Data Anal. 54 (5) (2010)
Daniel Carando, Ricardo Fraiman, Pablo Groisman
Nonparametric likelihood based estimation for a multivariate Lipschitz density. J. Multivar. Anal. 100 (5) (2009)
Juan Antonio Cuesta-Albertos, Antonio Cuevas, Ricardo Fraiman
On projection-based tests for directional and compositional data. Stat. Comput. 19 (4) (2009)
Antonio Cuevas, Ricardo Fraiman
On depth measures and dual statistics. A methodology for dealing with general data. J. Multivar. Anal. 100 (4) (2009)
Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán
The random projection method in goodness of fit for functional data. Comput. Stat. Data Anal. 51 (10) (2007)
Juan Antonio Cuesta-Albertos, Ricardo Fraiman
Impartial trimmed k-means for functional data. Comput. Stat. Data Anal. 51 (10) (2007)
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
Robust estimation and classification for functional data via projection-based depth notions. Comput. Stat. 22 (3) (2007)
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
On the use of the bootstrap for estimating functions with functional data. Comput. Stat. Data Anal. 51 (2) (2006)
Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman
An anova test for functional data. Comput. Stat. Data Anal. 47 (1) (2004)
Juan Antonio Cuesta-Albertos, Ricardo Fraiman
Impartial trimmed means for functional data. Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (2003)