Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Juan A. Cuesta‐Albertos"'
Publikováno v:
Earth's Future, Vol 8, Iss 5, Pp n/a-n/a (2020)
Abstract An analysis of the evolution of sedimentation rates and disasters caused by surface geologic processes during the last century, at a global scale, is presented. Results show that erosion/sedimentation processes and frequency of such disaster
Externí odkaz:
https://doaj.org/article/7c61790c06c54d14b6e0e320b44b8911
Publikováno v:
Bernoulli. 29
We propose a projection-based class of uniformity tests on the hypersphere using statistics that integrate, along all possible directions, the weighted quadratic discrepancy between the empirical cumulative distribution function of the projected data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79157d3bdd6c5a73258f760956e1db4
https://doi.org/10.3150/21-bej1454
https://doi.org/10.3150/21-bej1454
Publikováno v:
Bernoulli, 2022, 28(4), 2123-2150
Galton´s rank-order statistic is one of the oldest statistical tools for two-sample comparisons. It is also a very natural index to measure departures from stochastic dominance. Yet, its asymptotic behaviour has been investigated only partially, und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fda4ec75207bad755df1b063c71f3ac
https://doi.org/10.3150/21-bej1406
https://doi.org/10.3150/21-bej1406
Publikováno v:
TEST. 30:908-934
There exist multiple methods to detect outliers in multivariate data in the literature, but most of them require to estimate the covariance matrix. The higher the dimension, the more complex the estimation of the matrix becoming impossible in high di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cc9768aae050ef7fa917b7eee4d199e
https://doi.org/10.1007/s11749-020-00750-y
https://doi.org/10.1007/s11749-020-00750-y
Publikováno v:
The Annals of Statistics, 2021, 49 (2), 1139-1165
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Unlike the real line, the real space Rd, for d 2, is not canonically ordered. As a consequence,such fundamental univariate concepts as quantileand distribution functions and their empirical counterparts, involving ranksand signs, do not canonically e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d4b0e4d80eb020f6ff27a33aaaa05b2
http://hdl.handle.net/10902/24521
http://hdl.handle.net/10902/24521
Publikováno v:
Statistical Learning and Modeling in Data Analysis ISBN: 9783030699437
Testing uniformity of a sample supported on the hypersphere is one of the first steps when analysing multivariate data for which only the directions (and not the magnitudes) are of interest. In this work, a projection-based Cramer–von Mises test of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e90bc29a3e58dbb529cb3a4828698ee
https://doi.org/10.1007/978-3-030-69944-4_12
https://doi.org/10.1007/978-3-030-69944-4_12
Publikováno v:
Statistics and Computing. 29:139-160
A robust clustering method for probabilities in Wasserstein space is introduced. This new ‘trimmed k-barycenters’ approach relies on recent results on barycenters in Wasserstein space that allow intensive computation, as required by clustering al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768810c09ec51e5a80dfaa3748d6c2b5
https://doi.org/10.1007/s11222-018-9800-z
https://doi.org/10.1007/s11222-018-9800-z
Publikováno v:
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
instname
This is a post-peer-review, pre-copyedit version of an article published in TEST. The final authenticated version is available online at: https://doi.org/10.1007/s11749-016-0502-6 The maximum depth classifier was the first attempt to use data depths
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a75e97c0b2060d1b702f025086058fa3
https://zenodo.org/record/3387002
https://zenodo.org/record/3387002
Autor:
Wenceslao González-Manteiga, Juan A. Cuesta-Albertos, Manuel Febrero-Bande, Eduardo García-Portugués
Publikováno v:
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Ann. Statist.Volume 47, Number 1 (2019), 439-467
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Ann. Statist. 47, no. 1 (2019), 439-467
instname
Ann. Statist.Volume 47, Number 1 (2019), 439-467
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Ann. Statist. 47, no. 1 (2019), 439-467
We consider marked empirical processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests for the functional linear model with scalar response. The test statistics are built from continuous functionals over the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d04cdd9d057ae1da05c9b2cc77ec89
https://doi.org/10.1214/18-aos1693
https://doi.org/10.1214/18-aos1693
Publikováno v:
TEST. 26:119-142
The maximum depth classifier was the first attempt to use data depths instead of multivariate raw data in classification problems. Recently, the DD-classifier has addressed some of the serious limitations of this classifier but issues still remain. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c06fd41966a10a620ef8bcf6445e2dd8
https://doi.org/10.1007/s11749-016-0502-6
https://doi.org/10.1007/s11749-016-0502-6