dr.

(Andreas) A Alfons

Profile

• All publications (19)

  • Article (14)

    • N. Stefelova, A. Alfons, J. Palarea-Albaladejo, P. Filzmoser & K. Hron (2021). Robust regression with compositional covariates including cellwise outliers. Advances in Data Analysis and Classification. doi: 10.1007/s11634-021-00436-9
    • A. Alfons, N.Y. Ates & P.J.F. Groenen (2021). A robust bootstrap test for mediation analysis. Organizational Research Methods. doi: 10.1177/1094428121999096
    • A. Alfons, C. Croux & P. Filzmoser (2017). Robust maximum association measures. Journal of the American Statistical Association, 112 (517), 436-445. doi: 10.1080/01621459.2016.1148609
    • A. Alfons, C. Croux & P. Filzmoser (2016). Robust maximum association between data sets: The R package ccaPP. Austrian Journal of Statistics, 45 (1), 71-79. doi: 10.17713/ajs.v45i1.90
    • V. Öllerer, A. Alfons & C. Croux (2016). The shooting S-estimator for robust regression. Computational Statistics, 31 (3), 829-844. doi: 10.1007/s00180-015-0593-7
    • A. Alfons, C. Croux & S.E.C. Gelper (2016). Robust groupwise least angle regression. Computational Statistics & Data Analysis, 93, 421-435. doi: 10.1016/j.csda.2015.02.007
    • V. Öllerer, C. Croux & A. Alfons (2015). The influence function of penalized regression estimators. Statistics, 49 (4), 741-765. doi: 10.1080/02331888.2014.922563
    • A. Alfons, M. Templ & P. Filzmoser (2013). Robust estimation of economic indicators from survey samples based on Pareto tail modeling. Journal of the Royal Statistical Society. Series C, Applied Statistics, 62 (2), 271-286. doi: 10.1111/j.1467-9876.2012.01063.x
    • A. Alfons, C. Croux & S.E.C. Gelper (2013). Sparse least trimmed squares regression for analyzing high-dimensional large data sets. Annals of Applied Statistics, 7 (1), 226-248. doi: 10.1214/12-AOAS575
    • A. Alfons & M. Templ (2013). Estimation of social exclusion indicators from complex surveys: The R package laeken. Journal of Statistical Software, 54 (15), 1-25. doi: 10.18637/jss.v054.i15
    • M. Templ, A. Alfons & P. Filzmoser (2012). Exploring incomplete data using visualization techniques. Advances in Data Analysis and Classification, 6 (1), 29-47. doi: 10.1007/s11634-011-0102-y
    • A. Alfons, W.E. Baaske, P. Filzmoser, W. Mader & R. Wieser (2011). Robust variable selection with application to quality of life research. Statistical Methods and Applications, 20 (1), 65-82. doi: 10.1007/s10260-010-0151-y
    • A. Alfons, S. Kraft, M. Templ & P. Filzmoser (2011). Simulation of close-to-reality population data for household surveys with application to EU-SILC. Statistical Methods and Applications, 20 (3), 383-407. doi: 10.1007/s10260-011-0163-2
    • A. Alfons, M. Templ & P. Filzmoser (2010). An object-oriented framework for statistical simulation: The R package simFrame. Journal of Statistical Software, 37 (3), 1-36. doi: 10.18637/jss.v037.i03

  • Book / Monograph / Book editorial (1)

    • A. Alfons (2011). Simulation and Robust Statistics: Application to Laeken Indicators and Quality of Life Research. Saarbrücken: Südwestdeutscher Verlag für Hochschulschriften

  • Part of book - Chapter (2)

    • M. Templ & A. Alfons (2010). Disclosure risk of synthetic population data with application in the case of EU-SILC. In J. Domingo-Ferrer & E. Magkos (Eds.), Privacy in Statistical Databases (Lecture Notes in Computer Science, 6344) (pp. 174-186). Heidelberg: Springer
    • A. Alfons, M. Templ, P. Filzmoser & J. Holzer (2010). A comparison of robust methods for Pareto tail modeling in the case of Laeken indicators. In C. Borgelt, G. González-Rodríguez, W. Trutschnig, M.A. Lubiano, M.A. Gil, P. Grzegorzewski & O. Hryniewicz (Eds.), Combining Soft Computing and Statistical Methods in Data Analysis (Advances in Intelligent and Soft Computing, 77) (pp. 17-24). Heidelberg: Springer

  • Article in volume (1)

    • A. Alfons, M. Templ & P. Filzmoser (2010). Contamination models in the R package simFrame for statistical simulation. In S. Aivazian, P. Filzmoser & Y. Kharin (Eds.), Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, Volume 2 (pp. 178-181)

  • Supervised Theses (1)

    • G.J.J. van den Burg (2018, januari 12). Algorithms for Multiclass Classification and Regularized Regression. EUR Prom./coprom.: prof.dr. P.J.F. Groenen & dr. A. Alfons.

• Teaching (2)

  Seminar Case Studies in QMarketing

  Title

  Seminar Case Studies in QMarketing

  Year

  2020

  Year level

  master

  Thesis Hub Master Economics & Business

  Title

  Thesis Hub Master Economics & Business

  Year

  2020

• PhD list (2)

  • Max Felix Orson Welz

    Robust methods for analyzing (big) rating-scale data

    • 2020 -
  • Gertjan van den Burg

    Algorithms for Multiclass Classification and Regularized Regression

    • 2012 - 2018

• Present position

  Associate Professor

  University

  Erasmus University Rotterdam

  School

  Erasmus School of Economics

  Department

  Econometrics

  Country

  The Netherlands

  Telephone

  0104082588