Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Paula Saavedra Nieves"'
Publikováno v:
The R Journal. 14:121-141
Autor:
Paula Saavedra-Nieves
Publikováno v:
Journal of Nonparametric Statistics. 34:663-682
Highest density regions refer to level sets containing points of relatively high density. Their estimation from a random sample, generated from the underlying density, allows to determine the clusters of the corresponding distribution. This task can
Autor:
Sara Vázquez‐Mera, Laura Martelo‐Vidal, Pablo Miguéns‐Suárez, Paula Saavedra‐Nieves, Pilar Arias, Coral González‐Fernández, Mar Mosteiro‐Añón, María Dolores Corbacho‐Abelaira, Marina Blanco‐Aparicio, Paula Méndez‐Brea, Francisco Javier Salgado, Juan José Nieto‐Fontarigo, Francisco Javier González‐Barcala
Publikováno v:
AllergyREFERENCES.
Asthma is a heterogeneous disease with several phenotypes, endotypes and severity degrees, in which different T-cell subpopulations are involved. These cells express specific miRNAs (i.e. inflamma-miRs) that can be released to serum in exosomes after
Publikováno v:
TEST. 30:64-67
Publikováno v:
The Annals of Statistics. 50
On systems of quotas from bankruptcy perspective: the sampling estimation of the random arrival rule
Publikováno v:
European Journal of Operational Research. 285:655-669
This paper addresses a sampling procedure for estimating the random arrival rule in bankruptcy situations. It is based on simple random sampling with replacement and it adapts an estimation method of the Shapley value for transferable utility games,
Autor:
Fábio Silva, María Padín-Iruegas, Vito Caponio, Alejandro Lorenzo-Pouso, Paula Saavedra-Nieves, Cintia Chamorro-Petronacci, José Suaréz-Peñaranda, Mario Pérez-Sayáns
Publikováno v:
International Journal of Molecular Sciences. 23:11937
Head and neck cancer (HNC) is an ascending and agressive disease. The search for new molecular markers is emerging to solve difficulties in diagnosis, risk management, prognosis and effectiveness of treatments. Proteins related to apoptotic machinery
Publikováno v:
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
instname
Ecological Risk Assessment faces the challenge of determining the impact of invasive species on biodiversity conservation. Although many statistical methods have emerged in recent years in order to model the evolution of the spatio-temporal distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbbf94b95fb32526928ac461f2d755d4
http://hdl.handle.net/10347/28869
http://hdl.handle.net/10347/28869