Zobrazeno 1 - 10 of 2 174 pro vyhledávání: '"Sousa,Pedro"'
1
Report
Fast Bayesian Basis Selection for Functional Data Representation with Correlated Errors
Autor: da Cruz, Ana Carolina, de Souza, Camila P. E., Sousa, Pedro H. T. O.
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
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4
Conference
A LiDAR based obstacle detection framework for railway.
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.
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5
Report
Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis
Autor: Sousa, Pedro Henrique T. O., de Souza, Camila P. E., Dias, Ronaldo
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
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6
Report
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation
Autor: Sousa, Pedro Henrique T. O., de Souza, Camila P. E., Dias, Ronaldo
Considering the context of functional data analysis, we developed and applied a new Bayesian approach via Gibbs sampler to select basis functions for a finite representation of functional data. The proposed methodology uses Bernoulli latent variables
Externí odkaz: http://arxiv.org/abs/2204.03115
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