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pro vyhledávání: '"Sousa,Pedro"'
Functional data analysis finds widespread application across various fields. While functional data are intrinsically infinite-dimensional, in practice, they are observed only at a finite set of points, typically over a dense grid. As a result, smooth
Externí odkaz:
http://arxiv.org/abs/2405.20758
In this work, we developed a new Bayesian method for variable selection in function-on-scalar regression (FOSR). Our method uses a hierarchical Bayesian structure and latent variables to enable an adaptive covariate selection process for FOSR. Extens
Externí odkaz:
http://arxiv.org/abs/2303.03521
Autor:
Dias, Susana1 sdias@inegi.up.pt, Sousa, Pedro1,2, Afonso, Francisco1, Viriato, Nuno1, Tavares, Paulo1, Moreira, Pedro1
Publikováno v:
EPJ Web of Conferences. 10/15/2024, Vol. 305, p1-5. 5p.
Autor:
Costa, Erick Cardoso a, b, ⁎, Bellen, Bruno van b, Werner, Marcos Odivan b, Sousa, Pedro Córdula de b, Xavier, Fabio Antonio b
Publikováno v:
In Materials Science in Semiconductor Processing January 2025 185
Publikováno v:
In Aquaculture 15 December 2024 593
Autor:
Azevedo-Silva, João, Amorim, Manuela, Tavares-Valente, Diana, Sousa, Pedro, Mohamath, Raodoh, Voigt, Emily A., Guderian, Jeffrey A., Kinsey, Robert, Viana, Sofia, Reis, Flávio, Pintado, Manuela E., Paddon, Christopher J., Fox, Christopher B., Fernandes, João C.
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics December 2024 205
Autor:
Sousa, Pedro H.C., Santos, Rosinette M., El-Robrini, Maâmar, Pereira, José Almir R., Santos, MariaL.S.
Publikováno v:
In Estuarine, Coastal and Shelf Science 1 December 2024 309