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Professor´s Information

Personal Data
Name   Aneiros Pérez, Germán
Knowledge area   Estadística e investigación operativa
Faculty position   Catedrático de Universidad
Dedication   Total
E-mail   ganeiros@udc.es
Personal website   http://dm.udc.es/staff/german_aneiros
Research group   MODES

Location
Center Campus Phone Extension

Teaching
Degree(s) Course(s)
Máster en Técnicas Estadísticas Trabajo Fin de Master
Grado en Ingeniería Informática Estadística

Published papers
  • 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, Ivana Horová, Marie Hušková, Philippe Vieu.
    On functional data analysis and related topics.
    Journal of Multivariate Analysis, 189 (2022) , 104861.

  • Germán Aneiros, Silvia Novo, Philippe Vieu.
    Variable selection in functional regression models: a review.
    Journal of Multivariate Analysis, 188 (2022) , 104871.

  • 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.

  • 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.

  • Nengxiang Ling, Germán Aneiros, Philippe Vieu.
    kNN estimation in functional partial linear modeling.
    Statistical Papers, 61 (2020) , 423–444.

  • 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, 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.

  • 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, Philippe Vieu.
    Editorial for the Special Issue on Functional Data Analysis and Related Topics.
    Journal of Multivariate Analysis, 170 (2019) , 1-2.

  • 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.

  • 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.

  • Germán Aneiros, Paula Raña, Philippe Vieu, Juan Vilar.
    Bootstrap in semi-functional partial linear regression under dependence.
    Test, 27 (2018) , 3 , 659-679.

  • 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.

  • Germán Aneiros, Philippe Vieu.
    Sparse Nonparametric Model for Regression with Functional Covariate.
    Journal of Nonparametric Statistics, 28 (2016) , 4 , 839-859.

  • 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, 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.

  • Aneiros, G., Vieu, P.
    Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data.
    Test, 25 (2016) , 27-32.

  • 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., 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.

  • Aneiros, G., Vieu, P.
    Variable selection in infinite-dimensional problems.
    Statistics and Probability Letters, 0 (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, 0 (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, 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.
    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, P. Vieu.
    Semi-functional partial linear regression.
    Statistics and Probability Letters, 76 (2006) , 1102-1110.

  • 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.
    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, 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, 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-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.
    Modified cross-validation in semiparametric regression models with dependent errors.
    Communications in Statistics / Theory and Methods, 30 (2001) , 2 , 289-307.

  • G. Aneiros, A. Quintela.
    Asymptotic properties in partial linear models under dependence.
    Test, 10 (2001) , 2 , 333-355.

  • 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.