Zobrazeno 1 - 10
of 11
pro vyhledávání: '"César Sánchez-Sellero"'
Publikováno v:
TEST.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4047291ceb5f88af20dc4b8b0edc5a2
https://doi.org/10.1007/s11749-023-00862-1
https://doi.org/10.1007/s11749-023-00862-1
Publikováno v:
Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2020, 209, pp.229-251. ⟨10.1016/j.jspi.2020.04.002⟩
Journal of Statistical Planning and Inference, Elsevier, 2020, 209, pp.229-251. ⟨10.1016/j.jspi.2020.04.002⟩
A lack-of-fit test for functional regression models is proposed. The test is based on the fact that checking the no-effect of a functional covariate is equivalent to checking the nullity of the conditional expectation of the error term given a suffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6c2c9da8c6ab1d3bf72509331b56a7e
https://doi.org/10.1016/j.jspi.2020.04.002
https://doi.org/10.1016/j.jspi.2020.04.002
Publikováno v:
TEST, Vol. 29, p. 599-615 (2020)
Suppose we have a location-scale regression model where the location is the conditional mean and the scale is the conditional standard deviation; the response is possibly right-censored, the covariate is fully observed, and the error is independent o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4a996db352a22eacee2c1b59215306
https://doi.org/10.1007/s11749-019-00662-6
https://doi.org/10.1007/s11749-019-00662-6
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 Stoch Environ Res Risk Assess. The final authenticated version is available online at: https://doi.org/10.1007/s00477-016-1252-4 Quantile regression methods are evaluated for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763948c348bd1cde11ee47bd0d739abb
https://doi.org/10.1007/s00477-016-1252-4
https://doi.org/10.1007/s00477-016-1252-4
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/s11749-018-0582-6 In the framework of quantile regression, local linear smoothing techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c13164f646720af32ec24c0c44afdd7
http://hdl.handle.net/10347/18626
http://hdl.handle.net/10347/18626
Autor:
Carlos Balsa-Castro, Nora Arias-Bujanda, Inmaculada Tomás, M. A. Casares-de-Cal, M. Alonso-Sampedro, David Suárez-Quintanilla, César Sánchez-Sellero
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Scientific Reports
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Scientific Reports
Although a distinct cytokine profile has been described in the gingival crevicular fluid (GCF) of patients with chronic periodontitis, there is no evidence of GCF cytokine-based predictive models being used to diagnose the disease. Our objectives wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c357a87f4661871bc814677a7c498f
https://doi.org/10.1038/s41598-017-06674-2
https://doi.org/10.1038/s41598-017-06674-2
Publikováno v:
Journal of the American Statistical Association
Journal of the American Statistical Association, Taylor & Francis, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩
Journal of the American Statistical Association, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩
Journal of the American Statistical Association, Taylor & Francis, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩
Journal of the American Statistical Association, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩
This article examines the problem of nonparametric testing for the no-effect of a random covariate (or predictor) on a functional response. This means testing whether the conditional expectation of the response given the covariate is almost surely ze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f7b209d5c85278aa2ef0df670a5a226
https://hal.archives-ouvertes.fr/hal-02991023
https://hal.archives-ouvertes.fr/hal-02991023
We propose a new lack-of-fit test for quantile regression models that is suitable even with high-dimensional covariates. The test is based on the cumulative sum of residuals with respect to unidimensional linear projections of the covariates. The tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cabd2815ddee2ca5bbfc5fe9afff7f8
http://arxiv.org/abs/1502.05815
http://arxiv.org/abs/1502.05815
Publikováno v:
Mathematical Methods of Operational Research. 59
In this note we show that the mathematical tools of cooperative game theory allow a successful approach to the statistical problem of estimating a density function. Specifically, any random sample of an absolutely continuous random variable determine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b3349089f4fc0eb64a88d01fec25c28
https://doi.org/10.1007/s001860400349
https://doi.org/10.1007/s001860400349
Publikováno v:
Scopus-Elsevier
The microgeographic variability of consanguinity in the Archbishopric of Santiago de Compostela (Galicia) between 1900 and 1979 was studied. This Archbishopric covers 106 local councils integrated by 964 parishes, of which 677 (70.23%) were analyzed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de9b6ea14e3e90764350e9c16d7a1cc
https://pubmed.ncbi.nlm.nih.gov/11512681
https://pubmed.ncbi.nlm.nih.gov/11512681