Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniel Barreiro‐Ures"'
Autor:
Daniel Barreiro‐Ures, Mario Francisco‐Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, José Luis González‐Andújar, Miguel Reyes
Publikováno v:
Ecology and Evolution, Vol 9, Iss 19, Pp 10903-10915 (2019)
Abstract Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). However, in many situations, experi
Externí odkaz:
https://doaj.org/article/c846ee26911344138a3695748cd25fc2
Publikováno v:
Proceedings, Vol 2, Iss 18, p 1166 (2018)
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias a
Externí odkaz:
https://doaj.org/article/ece7ae4358be49aea0d863f895332c13
Publikováno v:
Proceedings, Vol 2, Iss 18, p 1165 (2018)
Over the last few years, the research group MODES has carried out a research line (in collaboration with researchers from the Sustainable Agriculture Institute of the CSIC in Córdoba) on statistical modeling in weed science. One of the aspects dealt
Externí odkaz:
https://doaj.org/article/ee8ede8620c1452988a77788f25fd401
Publikováno v:
Trends in Mathematical, Information and Data Sciences ISBN: 9783031041365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a9b64df141e22c79e0d9a14d412b186
https://doi.org/10.1007/978-3-031-04137-2_25
https://doi.org/10.1007/978-3-031-04137-2_25
Publikováno v:
Biometrika. 108:981-988
Summary Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the bandwidth of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary cross-validation, and hence le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3accba69c6f88be07a86fc8dd7cd6d6c
https://doi.org/10.1093/biomet/asaa092
https://doi.org/10.1093/biomet/asaa092
Autor:
Ramón Doallo, Basilio B. Fraguela, José Luis González-Andújar, Mario Francisco-Fernández, Daniel Barreiro-Ures, Ricardo Cao, Miguel Reyes
Publikováno v:
Ecology and Evolution
RUC. Repositorio da Universidade da Coruña
instname
Ecology and Evolution, Vol 9, Iss 19, Pp 10903-10915 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
RUC. Repositorio da Universidade da Coruña
instname
Ecology and Evolution, Vol 9, Iss 19, Pp 10903-10915 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). However, in many situations, experimental da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cfcc5f9ddaae3a1fe494835f1cca1b9
https://hdl.handle.net/2183/24200
https://hdl.handle.net/2183/24200
Publikováno v:
Proceedings, Vol 2, Iss 18, p 1165 (2018)
Over the last few years, the research group MODES has carried out a research line (in collaboration with researchers from the Sustainable Agriculture Institute of the CSIC in Córdoba) on statistical modeling in weed science. One of the aspects dealt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98ca173bcd2c70bec9686ffdf5d29ea
https://doi.org/10.3390/proceedings2181165
https://doi.org/10.3390/proceedings2181165