Journal articles
- Germán Aneiros, Ivana Horová, Marie Hušková, Philippe Vieu.
On functional data analysis and related topics,
Journal of Multivariate Analysis, 189 (2022) 104861.
- Germán Aneiros, Ivana Horová, Marie Hušková, Philippe Vieu.
Editorial for the Special Issue on Functional Data Analysis and Related Fields,
Journal of Multivariate Analysis, 189 (2022) 104908.
- Germán Aneiros, Silvia Novo, Philippe Vieu.
Variable selection in functional regression models: a review,
Journal of Multivariate Analysis, 188 (2022) 104871.
- Silvia Novo, Germán Aneiros, Philippe Vieu.
A kNN procedure in semiparametric functional data analysis,
Statistics and Probability Letters, 171 (2021) 109028.
- Silvia Novo, Germán Aneiros, Philippe Vieu.
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables,
Test, 30 (2021) 481-504.
- Silvia Novo, Philippe Vieu, Germán Aneiros.
Fast and efficient algorithms for sparse semiparametric bi-functional regression,
Australian and New Zealand Journal of Statistics, 63 (2021) 4, 606-638.
- Nengxiang Ling, Germán Aneiros, Philippe Vieu.
kNN estimation in functional partial linear modeling,
Statistical Papers, 61 (2020) 423–444.
- Aneiros, G., Cao, R., Vieu, P .
Editorial on the Special Issue on Functional Data Analysis and Related Topics,
Computational Statistics, 34 (2019) 2, 447-450.
- Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu.
Recent advances in functional data analysis and high-dimensional statistics,
Journal of Multivariate Analysis, 170 (2019) 3-9.
- Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu.
Editorial for the Special Issue on Functional Data Analysis and Related Topics,
Journal of Multivariate Analysis, 170 (2019) 1-2.
- Silvia Novo, Germán Aneiros, Philippe Vieu.
Automatic and location-adaptive estimation in functional single-index regression,
Journal of Nonparametric Statistics, 31 (2019) 2, 364-392.
- Germán Aneiros, Paula Raña, Philippe Vieu, Juan Vilar.
Bootstrap in semi-functional partial linear regression under dependence,
Test, 27 (2018) 3, 659-679.
- Juan Vilar, Germán Aneiros, Paula Raña.
Prediction intervals for electricity demand and price using functional data,
International Journal of Electrical Power and Energy Systems, 96 (2018) 457-472.
- Paula Raña, Juan Vilar, Germán Aneiros.
On the use of functional additive models for electricity demand and price prediction,
IEEE Access, 6 (2018) 1, 9603-9613.
- Aneiros, G., Vieu, P.
Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data,
Test, 25 (2016) 27-32.
- Germán Aneiros, Juan M. Vilar, Paula Raña.
Short-term forecast of daily curves of electricity demand and price,
International Journal of Electrical Power and Energy Systems, 80 (2016) 96-108.
- Germán Aneiros, Philippe Vieu.
Modèle non-paramétrique parcimonieux pour la détection des points d'impact d'une variable fonctionnelle,
Comptes Rendus Mathématique, 354 (2016) 5, 538-542.
- Germán Aneiros, Philippe Vieu.
Sparse Nonparametric Model for Regression with Functional Covariate,
Journal of Nonparametric Statistics, 28 (2016) 4, 839-859.
- Juan M. Vilar, Paula Raña, Germán Aneiros.
Using robust FPCA to identify outliers in functional time series, with applications to the electricity market,
SORT-Statistics and Operations Research Transactions, 40 (2016) 2, 321-348.
- Paula Raña, Germán Aneiros, Juan Manuel Vilar, Philippe Vieu.
Bootstrap confidence intervals in functional nonparametric regression under dependence,
Electronic Journal of Statistics, 10 (2016) 2, 1973-1999.
- Aneiros, G., Ling, N., Vieu, P. .
Error variance estimation in semi-functional partially linear regression models,
Journal of Nonparametric Statistics, 27 (2015) 3, 316-330.
- Aneiros, G., Vieu, P.
Partial linear modelling with multi-functional covariates,
Computational Statistics, 30 (2015) 3, 647-671.
- G. Aneiros, Ferraty F., P. Vieu.
Variable selection in partial linear regression with functional covariate,
Statistics, 49 (2015) 6, 1322-1347.
- Raña, P., Aneiros, G., Vilar, J.M.
Detection of outliers in functional time series,
Environmetrics, 26 (2015) 3, 178-191.
- Aneiros, G., Vieu, P.
Variable selection in infinite-dimensional problems,
Statistics and Probability Letters (2014) 94, 12-20.
- Mamouridis, V., Maynou, F., Aneiros Pérez, G. .
Analysis and standardization of landings per unit effort of red shrimp Aristeus antennatus from the trawl fleet of Barcelona (NW Mediterranean),
Scientia Marina, 78 (2014) 7-16.
- G. Aneiros, J.M. Vilar, R. Cao, A. Muñoz San Roque.
Functional prediction for the residual demand in electricity spot markets,
IEEE Transactions on Power Systems, 28 (2013) 4, 4201-4208.
- G. Aneiros-Pérez, P. Vieu.
Testing linearity in semi-parametric functional data analysis,
Computational Statistics, 28 (2013) 413-434.
- G. Aneiros.
Comments on: Some recent theory for autoregressive count time series,
Test (2012) 21, 439-441.
- J.M. Vilar, R. Cao, G. Aneiros.
Forecasting next-day electricity demand and price using nonparametric functional methods,
International Journal of Electrical Power and Energy Systems, 39 (2012) 48-55.
- G. Aneiros-Pérez, P. Vieu.
Automatic estimation procedure in partial linear model with functional data,
Statistical Papers, 52 (2011) 751-771.
- G. Aneiros-Pérez, R. Cao, J. M. Vilar-Fernández.
Functional methods for time series prediction: a nonparametric approach,
Journal of Forecasting, 30 (2011) 3, 377-392.
- G. Aneiros, W. González-Manteiga, J.C. Reboredo.
Semiparametric regression with a FARIMA-GARCH error process: Theory and application. Advances and Applications in Statistical Sciences,
Advances and Applications in Statistical Sciences, 3 (2010) 1, 83-112.
- G. Aneiros-Pérez, J.M. Vilar-Fernández.
Prewhitening-based estimation in partial linear regression models: a comparative study,
REVSTAT: Statistical Journal, 7 (2009) 37-54.
- G. Aneiros-Pérez.
Semiparametric analysis of covariance under dependence conditions within each group (software disponible pulsando sobre en el enlace),
Australian and New Zealand Journal of Statistics, 50 (2008) 97-123.
- G. Aneiros-Pérez, J. M. Vilar-Fernández.
Local polynomial estimation in partial linear regression models under dependence,
Computational Statistics and Data Analysis, 52 (2008) 2757-2777.
- G. Aneiros-Pérez, P. Vieu.
Nonparametric time series prediction: a semi-functional partial linear modeling,
Journal of Multivariate Analysis, 99 (2008) 834-857.
- G. Aneiros-Pérez, P. Vieu.
Semi-functional partial linear regression,
Statistics and Probability Letters, 76 (2006) 1102-1110.
- G. Aneiros-Pérez.
Plug-in bandwidth choice for estimation of nonparametric part in partial linear regression models with strong mixing errors,
Statistical Papers, 45 (2004) 2, 191-210.
- G. Aneiros-Pérez, H. Cardot, G. Estévez, P. Vieu.
Maximum ozone concentration forecasting by functional non-parametric approaches,
Environmetrics, 15 (2004) 675-685.
- G. Aneiros-Pérez, W. González-Manteiga, P. Vieu.
Estimation and testing in a partial linear regression model under long-memory dependence,
Bernoulli, 10 (2004) 1, 49-78.
- W. González-Manteiga, G. Aneiros-Pérez.
Testing in partial linear regression models with dependent errors,
Journal of Nonparametric Statistics, 15 (2003) 1, 93-111.
- G. Aneiros-Pérez.
On bandwidth selection in partial linear regression models under dependence,
Statistics and Probability Letters, 57 (2002) 393-401.
- G. Aneiros-Pérez, A. Quintela-del-Río.
Plug-in bandwidth choice in partial linear models with autoregressive errors,
Journal of Statistical Planning and Inference, 100 (2002) 23-48.
- G. Aneiros, A. Quintela.
Asymptotic properties in partial linear models under dependence,
Test, 10 (2001) 2, 333-355.
- G. Aneiros-Pérez, A. Quintela-del-Río.
Modified cross-validation in semiparametric regression models with dependent errors,
Communications in Statistics / Theory and Methods, 30 (2001) 2, 289-307.
- G. Aneiros-Pérez.
Selección de la ventana en suavización tipo núcleo de la parte no paramétrica de un modelo parcialmente lineal con errores autorregresivos,
Questiio, 24 (2000) 2, 267-291.