Wenceslao González-Manteiga

Orcid: 0000-0002-3555-4623

According to our database1, Wenceslao González-Manteiga authored at least 34 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Testing for linearity in scalar-on-function regression with responses missing at random.
Comput. Stat., September, 2024

A consistent test of equality of distributions for Hilbert-valued random elements.
J. Multivar. Anal., 2024

Goodness-of-fit test for point processes first-order intensity.
Comput. Stat. Data Anal., 2024

2023
Testing similarity between first-order intensities of spatial point processes. A comparative study.
Commun. Stat. Simul. Comput., May, 2023

Functional classification of bitcoin addresses.
Comput. Stat. Data Anal., May, 2023

2021
A non-parametric test for comparing conditional ROC curves.
Comput. Stat. Data Anal., 2021

2020
Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates.
Comput. Stat. Data Anal., 2020

2019
Variable selection in functional additive regression models.
Comput. Stat., 2019

Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random.
Comput. Stat. Data Anal., 2019

2018
A comparative study of methods for testing the equality of two or more ROC curves.
Comput. Stat., 2018

2015
Discussion on the paper "Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan" by P. Secchi, S. Vantini and V. Vitelli.
Stat. Methods Appl., 2015

A lack-of-fit test for quantile regression models with high-dimensional covariates.
Comput. Stat. Data Anal., 2015

2013
Kernel smoothers and bootstrapping for semiparametric mixed effects models.
J. Multivar. Anal., 2013

Kernel density estimation for directional-linear data.
J. Multivar. Anal., 2013

2011
Bootstrap Methods.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Goodness-of-fit test for interest rate models: An approach based on empirical processes.
Comput. Stat. Data Anal., 2011

2010
Partially linear support vector machines applied to the prediction of mine slope movements.
Math. Comput. Model., 2010

Boosting GARCH and neural networks for the prediction of heteroskedastic time series.
Math. Comput. Model., 2010

Nonparametric variance function estimation with missing data.
J. Multivar. Anal., 2010

Measures of influence for the functional linear model with scalar response.
J. Multivar. Anal., 2010

Estimation of the marginal location under a partially linear model with missing responses.
Comput. Stat. Data Anal., 2010

Bootstrap Calibration in Functional Linear Regression Models with Applications.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2008
SiZer Map for inference with additive models.
Stat. Comput., 2008

F. Ferraty and P. Vieu: "Nonparametric functional data analysis: theory and practice".
Comput. Stat., 2008

Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model.
Comput. Stat. Data Anal., 2008

2007
A functional analysis of NOx levels: location and scale estimation and outlier detection.
Comput. Stat., 2007

Statistics for Functional Data.
Comput. Stat. Data Anal., 2007

Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model.
Comput. Stat. Data Anal., 2007

2005
Functional Samples and Bootstrap for Predicting Sulfur Dioxide Levels.
Technometrics, 2005

Testing for interactions in generalized additive models: Application to SO<sub>2</sub> pollution data.
Stat. Comput., 2005

Variography for Model Selection in Local Polynomial Regression with Spatial Data.
J. Math. Model. Algorithms, 2005

2004
The choice of smoothing parameter in nonparametric regression through Wild Bootstrap.
Comput. Stat. Data Anal., 2004

2003
Flexible spatio-temporal stationary variogram models.
Stat. Comput., 2003

Regularized Kriging: The Support Vectors Method Applied to Kriging.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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