Ricardo Fraiman

Orcid: 0000-0002-0468-4767

According to our database1, Ricardo Fraiman authored at least 32 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Subsampling under distributional constraints.
Stat. Anal. Data Min., February, 2024

2023
A Cramér-Wold theorem for elliptical distributions.
J. Multivar. Anal., 2023

2022
Level set and density estimation on manifolds.
J. Multivar. Anal., 2022

2019
Connecting pairwise geodesic spheres by depth: DCOPS.
J. Multivar. Anal., 2019

Editorial for the Special Issue on Functional Data Analysis and Related Topics.
J. Multivar. Anal., 2019

Recent advances in functional data analysis and high-dimensional statistics.
J. Multivar. Anal., 2019

Multivariate and functional robust fusion methods for structured Big Data.
J. Multivar. Anal., 2019

2018
Semi-supervised learning: When and why it works.
CoRR, 2018

2017
Variability in functional brain networks predicts expertise during action observation.
NeuroImage, 2017

Some hypothesis tests based on random projection.
Comput. Stat., 2017

On visual distances for spectrum-type functional data.
Adv. Data Anal. Classif., 2017

2016
Feature selection for functional data.
J. Multivar. Anal., 2016

A nonlinear aggregation type classifier.
J. Multivar. Anal., 2016

2014
Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions".
IEEE Trans. Inf. Theory, 2014

Random average shifted histograms.
Comput. Stat. Data Anal., 2014

2013
Resistant estimates for high dimensional and functional data based on random projections.
Comput. Stat. Data Anal., 2013

Interpretable clustering using unsupervised binary trees.
Adv. Data Anal. Classif., 2013

2012
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions.
IEEE Trans. Inf. Theory, 2012

Quantiles for finite and infinite dimensional data.
J. Multivar. Anal., 2012

Corrigendum to "On depth measures and dual statistics. A methodology for dealing with general data" [JMVA 100 (2009) 753-766].
J. Multivar. Anal., 2012

Letter to the editor.
J. Multivar. Anal., 2012

2011
On local times, density estimation and supervised classification from functional data.
J. Multivar. Anal., 2011

2010
Pattern recognition via projection-based kNN rules.
Comput. Stat. Data Anal., 2010

2009
On projection-based tests for directional and compositional data.
Stat. Comput., 2009

On depth measures and dual statistics. A methodology for dealing with general data.
J. Multivar. Anal., 2009

Nonparametric likelihood based estimation for a multivariate Lipschitz density.
J. Multivar. Anal., 2009

2007
Robust estimation and classification for functional data via projection-based depth notions.
Comput. Stat., 2007

Impartial trimmed k-means for functional data.
Comput. Stat. Data Anal., 2007

The random projection method in goodness of fit for functional data.
Comput. Stat. Data Anal., 2007

2006
On the use of the bootstrap for estimating functions with functional data.
Comput. Stat. Data Anal., 2006

2004
An anova test for functional data.
Comput. Stat. Data Anal., 2004

2003
Impartial trimmed means for functional data.
Proceedings of the Data Depth: Robust Multivariate Analysis, 2003


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