Sparse least trimmed squares regression for analyzing high-dimensional large data sets A Alfons, C Croux, S Gelper The Annals of Applied Statistics 7 (1), 226-248, 2013 | 298 | 2013 |
VIM: Visualization and imputation of missing values M Templ, A Kowarik, A Alfons, G de Cillia, W Rannetbauer R package, 2022 | 167* | 2022 |
Exploring incomplete data using visualization techniques M Templ, A Alfons, P Filzmoser Advances in Data Analysis and Classification 6 (1), 29-47, 2012 | 144 | 2012 |
A robust bootstrap test for mediation analysis A Alfons, NY Ateş, PJF Groenen Organizational Research Methods 25 (3), 591-617, 2022 | 127 | 2022 |
Simulation of close-to-reality population data for household surveys with application to EU-SILC A Alfons, S Kraft, M Templ, P Filzmoser Statistical Methods & Applications 20 (3), 383-407, 2011 | 120* | 2011 |
Estimation of social exclusion indicators from complex surveys: The R package laeken A Alfons, M Templ Journal of Statistical Software 54 (15), 1-25, 2013 | 106 | 2013 |
cvTools: Cross-validation tools for regression models A Alfons R package, 2024 | 77* | 2024 |
Robust estimation of economic indicators from survey samples based on Pareto tail modelling A Alfons, M Templ, P Filzmoser Journal of the Royal Statistical Society: Series C (Applied Statistics) 62 …, 2013 | 77 | 2013 |
An object-oriented framework for statistical simulation: The R package simFrame A Alfons, M Templ, P Filzmoser Journal of Statistical Software 37 (3), 1-36, 2010 | 69* | 2010 |
robustHD: Robust methods for high-dimensional data A Alfons R package, 2023 | 57* | 2023 |
The shooting S-estimator for robust regression V Öllerer, A Alfons, C Croux Computational Statistics 31 (3), 829-844, 2016 | 55 | 2016 |
Robust Maximum Association Estimators A Alfons, C Croux, P Filzmoser Journal of the American Statistical Association 112 (517), 436-445, 2017 | 36 | 2017 |
The influence function of penalized regression estimators V Öllerer, C Croux, A Alfons Statistics 49 (4), 741-765, 2015 | 35 | 2015 |
robustHD: An R package for robust regression with high-dimensional data A Alfons Journal of Open Source Software 6 (67), 3786, 2021 | 28 | 2021 |
simFrame: Simulation framework A Alfons R package, 2021 | 26* | 2021 |
Disclosure risk of synthetic population data with application in the case of EU-SILC M Templ, A Alfons International Conference on Privacy in Statistical Databases, 174-186, 2010 | 24 | 2010 |
Robust groupwise least angle regression A Alfons, C Croux, S Gelper Computational Statistics & Data Analysis 93, 421-435, 2016 | 23 | 2016 |
simPopulation: Simulation of synthetic populations for surveys based on sample data A Alfons, S Kraft R package, 2013 | 22 | 2013 |
Robust mediation analysis: The R package robmed A Alfons, NY Ateş, PJF Groenen Journal of Statistical Software 103 (13), 1-45, 2022 | 16 | 2022 |
Robust variable selection with application to quality of life research A Alfons, WE Baaske, P Filzmoser, W Mader, R Wieser Statistical Methods & Applications 20 (1), 65-82, 2011 | 14 | 2011 |