Novo, S., Aneiros, G., and Vieu, P. (2025). Semi-functional partial linear regression with measurement error: An approach based on kNN estimation. TEST, 34:235–261. 

Novo, S., Palummo, A. and Sangalli, L. M. (2025). Scalar-on-Function Regression with Partially Observed Covariate. In Aneiros, G., Bongiorno, E.G., Goia, A., Hušková, M. (eds) New Trends in Functional Statistics and Related Fields. IWFOS 2025, pp. 427-432. Contributions to Statistics. Springer, Cham. 

Aneiros, G., Novo, S., and Vieu, P. (2022). Variable selection in functional regression models: A review, Journal of Multivariate Analysis, 188, 104871.

Novo, S., Vieu, P., and Aneiros, G. (2021). Fast and efficient algorithms for sparse semiparametric bifunctional regression, Australian and New Zealand Journal of Statistics, 63, 606-638.

Novo, S., Aneiros, G., and Vieu, P. (2021). A kNN procedure in semiparametric functional data analysis, Statistics & Probability Letters, 171, 109028.

Novo, S., Aneiros, G., and Vieu, P. (2021). Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables, TEST, 30, 481-504.

Novo, S., Aneiros, G. and Vieu, P. (2020). Variable selection in semiparametric bi-functional models. In: Aneiros, G., Horová, I., Hušková, M., Vieu, P. (eds) Functional and High-Dimensional Statistics and Related Fields. IWFOS 2020, pp. 197-204. Contributions to Statistics. Springer, Cham.

Novo, S., Aneiros, G., and Vieu, P. (2019). Automatic and location-adaptive estimation in functional single-index regression, Journal of Nonparametric Statistics, 31(2), 364-392.