Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Paula Navarro-Esteban"'
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:
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:
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:
Gaceta de la Real Sociedad Matematica Espanola; 2021, Vol. 24 Issue 1, p13-24, 12p
The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical infere