Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ana Arribas-Gil"'
Publikováno v:
Entropy, Vol 22, Iss 6, p 675 (2020)
Nowadays, across the most important problems faced by health centers are those caused by the existence of patients who do not attend their appointments. Among others, these patients cause loss of revenue to the health centers and increase the patient
Externí odkaz:
https://doaj.org/article/0d3f72aeebc74bb19ebb8296d544e5d0
Publikováno v:
Statistics in medicine. 41(11)
Functional magnetic resonance imaging (fMRI) is a non-invasive technique that facilitates the study of brain activity by measuring changes in blood flow. Brain activity signals can be recorded during the alternate performance of given tasks, that is,
Publikováno v:
Child Indicators Research. 13:1235-1254
It is well-known that traditional economic measures such as household income appear to play less of a role in explaining children’s subjective well-being than adults’. This paper focuses on the construction of a children’s well-being index taki
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Entropy
Volume 22
Issue 6
Entropy, Vol 22, Iss 675, p 675 (2020)
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
instname
Entropy
Volume 22
Issue 6
Entropy, Vol 22, Iss 675, p 675 (2020)
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
Nowadays, across the most important problems faced by health centers are those caused by the existence of patients who do not attend their appointments. Among others, these patients cause loss of revenue to the health centers and increase the patient
Publikováno v:
Statistics in Medicine. 36:2120-2134
We propose a semiparametric nonlinear mixed-effects model (SNMM) using penalized splines to classify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone levels were measured du
Publikováno v:
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
Universidad Carlos III de Madrid (UC3M)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
The aging of population is perhaps the most important problem that developed countries must face in the near future. Dependency can be seen as a consequence of the process of gradual aging. In a health context, this contingency is defined as a lack o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0af3b513c1d970ee55c6beae4744a099
https://doi.org/10.1017/asb.2018.34
https://doi.org/10.1017/asb.2018.34
Publikováno v:
Child Indicators Research. 13:1255-1255
The original version of this article unfortunately contains incorrect affiliation of the author.
Autor:
Juan Romo, Ana Arribas-Gil
Publikováno v:
Statistical Methods & Applications. 24:263-267
This interesting paper adds on the authors long and outstanding trajectory in robust statistics and , more specifically, on robust functional data analysis. We congratulate Mia Hubert, Peter Rousseeuw and Pieter Segaert for this important contributio
Publikováno v:
Biometrics. 71:333-343
We propose a classification method for longitudinal data. The Bayes classifier is classically used to determine a classification rule where the underlying density in each class needs to be well modeled and estimated. This work is motivated by a real
Autor:
Catherine Matias, Ana Arribas-Gil
Publikováno v:
Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
Statistical Applications in Genetics and Molecular Biology, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2017, 16 (2), pp.133-144. ⟨10.1515/sagmb-2016-0043⟩
We propose an approach for multiple sequence alignment (MSA) derived from the dynamic time warping viewpoint and recent techniques of curve synchronization developed in the context of functional data analysis. Starting from pairwise alignments of all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731dfc5c6cf88eac1b93afe7e2645a0d
https://hal.science/hal-01332542v2/file/MSA_SAGMB_revised.pdf
https://hal.science/hal-01332542v2/file/MSA_SAGMB_revised.pdf