Automatic and location-adaptive estimation in functional single-index regression S Novo, G Aneiros, P Vieu
Journal of Nonparametric Statistics 31 (2), 364-392, 2019
31 2019 Variable selection in functional regression models: a review G Aneiros, S Novo, P Vieu
Journal of Multivariate Analysis 188, 104871, 2022
21 2022 Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables S Novo, G Aneiros, P Vieu
Test 30, 481-504, 2021
12 2021 A kNN procedure in semiparametric functional data analysis S Novo, G Aneiros, P Vieu
Statistics & Probability Letters 171, 109028, 2021
4 2021 Fast and efficient algorithms for sparse semiparametric bifunctional regression S Novo, P Vieu, G Aneiros
Australian & New Zealand Journal of Statistics 63 (4), 606-638, 2021
3 2021 Fast Algorithm for Impact Point Selection in Semiparametric Functional Models S Novo, G Aneiros, P Vieu
Multidisciplinary Digital Publishing Institute Proceedings 21 (1), 14, 2019
1 2019 Sparse Semi-Functional Partial Linear Single-Index Regression S Novo, G Aneiros, P Vieu
Proceedings 2 (18), 1190, 2018
1 2018 Semi-functional partial linear regression with measurement error: An approach based on NN estimation S Novo, G Aneiros, P Vieu
arXiv preprint arXiv:2402.11292, 2024
2024 Methodological contributions in semiparametric regression models for functional data SN Díaz
Universidade da Coruña, 2021
2021 Methodological Contributions in Semiparametric Regression Models for Functional Data S Novo Díaz
2021 Variable selection in semiparametric bi-functional models S Novo, G Aneiros, P Vieu
Functional and High-Dimensional Statistics and Related Fields 5, 197-204, 2020
2020 Prediction intervals for quantile autoregression SN Díaz, CAS Sellero
Actas XIII Congreso Galego de Estatística e Investigación de Operacións …, 2017
2017 Impact Point Selection in Semiparametric Bifunctional Models S Novo, G Aneiros, P Vieu
Book of Abstracts, 177, 0
en galego: Modelos cuantís autorregresivos SN Díaz
SIAM Journal of Numerical Analysis 10, 839-848, 0