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De Bin

Dr. Riccardo De Bin, MSc

Weitere Informationen

Publikationen

Referred articles:

Conference proceedings:

  • De Bin, R., Doerken, S., Boulesteix, A. L. & Sauerbrei, W. (2014). Graphical tools for investigating variable selection instability caused by correlated variables. 26th International Biometric Conference Meeting, ISBN 978 0 9821919 3 4
  • De Bin R. & Boulesteix A. L. (2012). Added predictive value of prediction models based on high-dimensional data. 5th International Conference of the European Research Consortium for Informatics and Mathematics, 2012, ISBN 978 84 937822 2 1
  • De Bin R. & Risso D. (2010). A nonparametric algorithm for clustering microarray data. 45th Scientific Meeting of the Italian Statistical Society, 2010, ISBN 978 88 6129 566 7
  • De Bin R. & Risso D. (2010). Clustering via nonparametric density estimation: an application to microarray data. LASR 2010 — High-throughput sequencing, proteins and statistics ISBN 978 0 85316 293 3

Technical reports:

  • Seibold H., Bernau C., Boulesteix, A. L. & De Bin, R. (2016). On the choice and influence of the number of boosting steps. Technical Report 188, Department of Statistics, University of Munich
  • Boulesteix, A. L., De Bin, R., Jiang, X. & Fuchs, M. (2015). IPF-LASSO: integrative L1-penalized regression with penalty factors for prediction based on multi-omics data. Technical Reports 187, Department of Statistics, University of Munich
  • De Bin, R. & Scarpa, B. (2014). Non-parametric Bayesian modeling of cervical mucus symptom. Technical Report 170, Department of Statistics, University of Munich
  • Fuchs, M., Hornung, R., De Bin, R. & Boulesteix, A. L. (2013). A U-statistic estimator for the variance of resampling-based error estimators. Technical Report 148, Department of Statistics, University of Munich

Other manuscripts (submitted):

  • Doerken, S., De Bin, R. & Sauerbrei, W. Graphical tools for illustrating variable selection (in)stability.