Výsledky vyhledávání - "Beatriz Bueno-Larraz"

Vulnerability in context; hard numbers, tricky words and grey areas for gerontology

Autor: Linda Naughton, Miguel Padeiro, Beatriz Bueno-Larraz

Publikováno v: Journal of Aging Studies. 65:101131

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4899ce004317ff7c50cb4914a42694ba
https://doi.org/10.1016/j.jaging.2023.101131

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An RKHS model for variable selection in functional linear regression

Autor: Beatriz Bueno-Larraz, Antonio Cuevas, José R. Berrendero

Publikováno v: Journal of Multivariate Analysis. 170:25-45

A mathematical model for variable selection in functional linear regression models with scalar response is proposed. By “variable selection” we mean a procedure to replace the whole trajectories of the functional explanatory variables with their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a519004fac364083e685bd1601b9439d
https://doi.org/10.1016/j.jmva.2018.04.008

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Local governments' use of social media during the COVID-19 pandemic: The case of Portugal

Autor: Miguel Padeiro, Beatriz Bueno-Larraz, Ângela Freitas

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Government Information Quarterly

While the use of social media by local governments has gained relevance in recent years, crises are critical situations that reinforce the need to reach citizens to disclose information, demonstrate the government's commitment, and increase the citiz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d254fceac7e0b014ec5a5fecf840667
https://pubmed.ncbi.nlm.nih.gov/34667370

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Variable Selection for the Prediction of C[0,1]-Valued Autoregressive Processes using Reproducing Kernel Hilbert Spaces

Autor: Johannes Klepsch, Beatriz Bueno-Larraz

Publikováno v: Technometrics. 61:139-153

A model for the prediction of functional time series is introduced, where observations are assumed to be continuous random functions. We model the dependence of the data with a nonstandard autoregr...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b67e69111d278061f854c6e21b52b0d
https://doi.org/10.1080/00401706.2018.1505660

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