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Ricardo Fraiman
Ricardo Fraiman
Profesor, Centro de Matemática, Universidad de la República, Uruguay
Dirección de correo verificada de cmat.edu.uy
Título
Citado por
Citado por
Año
An anova test for functional data
A Cuevas, M Febrero, R Fraiman
Computational statistics & data analysis 47 (1), 111-122, 2004
6112004
Robust principal component analysis for functional data
N Locantore, JS Marron, DG Simpson, N Tripoli, JT Zhang, KL Cohen, ...
Test 8, 1-73, 1999
4501999
Trimmed means for functional data
R Fraiman, G Muniz
Test 10, 419-440, 2001
4442001
Robust estimation and classification for functional data via projection-based depth notions
A Cuevas, M Febrero, R Fraiman
Computational Statistics 22 (3), 481-496, 2007
3992007
On the use of the bootstrap for estimating functions with functional data
A Cuevas, M Febrero, R Fraiman
Computational statistics & data analysis 51 (2), 1063-1074, 2006
2562006
Linear functional regression: the case of fixed design and functional response
A Cuevas, M Febrero, R Fraiman
Canadian Journal of Statistics 30 (2), 285-300, 2002
2282002
A plug-in approach to support estimation
A Cuevas, R Fraiman
The Annals of Statistics, 2300-2312, 1997
1821997
Recent advances in functional data analysis and high-dimensional statistics
G Aneiros, R Cao, R Fraiman, C Genest, P Vieu
Journal of Multivariate Analysis 170, 3-9, 2019
1642019
Cluster analysis: a further approach based on density estimation
A Cuevas, M Febrero, R Fraiman
Computational Statistics & Data Analysis 36 (4), 441-459, 2001
1582001
Estimating the number of clusters
A Cuevas, M Febrero, R Fraiman
Canadian Journal of Statistics 28 (2), 367-382, 2000
1562000
Kernel-based functional principal components
G Boente, R Fraiman
Statistics & probability letters 48 (4), 335-345, 2000
1452000
Universal smoothing factor selection in density estimation: theory and practice
D Devroye, J Beirlant, R Cao, R Fraiman, P Hall, MC Jones, G Lugosi, ...
Test 6, 223-320, 1997
1161997
On depth measures and dual statistics. A methodology for dealing with general data
A Cuevas, R Fraiman
Journal of Multivariate Analysis 100 (4), 753-766, 2009
1142009
Interpretable clustering using unsupervised binary trees
R Fraiman, B Ghattas, M Svarc
Advances in Data Analysis and Classification 7, 125-145, 2013
1042013
A sharp form of the Cramér–Wold theorem
JA Cuesta-Albertos, R Fraiman, T Ransford
Journal of Theoretical Probability 20 (2), 201-209, 2007
1032007
Selection of variables for cluster analysis and classification rules
R Fraiman, A Justel, M Svarc
Journal of the American Statistical Association 103 (483), 1294-1303, 2008
972008
Impartial trimmed k-means for functional data
JA Cuesta-Albertos, R Fraiman
Computational Statistics & Data Analysis 51 (10), 4864-4877, 2007
942007
Random projections and goodness-of-fit tests in infinite-dimensional spaces
JA Cuesta-Albertos*, R Fraiman, T Ransford**
Bulletin of the Brazilian Mathematical Society 37 (4), 477-501, 2006
922006
Multivariate L-estimation
R Fraiman, J Meloche, LA García-Escudero, A Gordaliza, X He, ...
Test 8, 255-317, 1999
921999
Robust nonparametric regression estimation for dependent observations
G Boente, R Fraiman
The Annals of Statistics 17 (3), 1242-1256, 1989
911989
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Artículos 1–20