| Reject inference in consumer credit scoring with nonignorable missing data M Bücker, M van Kampen, W Krämer Journal of Banking & Finance 37 (3), 1040-1045, 2013 | 18 | 2013 |
| Probleme des Qualitätsvergleichs von Kreditausfallprognosen W Krämer, M Bücker AStA Wirtschafts-und Sozialstatistisches Archiv 5 (1), 39-58, 2011 | 5 | 2011 |
| determinants, moderators and consequences of Organizational Interaction Orientation C Hoops, M Bücker Journal of Entrepreneurship Management and Innovation (JEMI) 9 (4), 73-100, 2013 | 3 | 2013 |
| A Hausman test for non-ignorability M Bücker, W Krämer, M Arnold Economics Letters 114 (1), 23-25, 2012 | 3 | 2012 |
| Statistische Modelle mit nicht-ignorierbar fehlender Zielgröße und Anwendung in der Reject Inference M Bücker | 2 | 2011 |
| Michael J. Daniels, Joseph W. Hogan: Missing data in longitudinal studies M Bücker Statistical Papers 52 (2), 501, 2011 | 1 | 2011 |
| Transparency of Machine Learning Models in Credit Scoring M Bücker, G Szepannek, P Biecek, A Gosiewska, M Staniak | | 2019 |
| Jean Dickinson Gibbons, Subhabrata Chakraborti: Nonparametric statistical inferences M Bücker Statistical Papers 55 (4), 1227-1228, 2014 | | 2014 |
| Alan Julian Izenman: Modern statistical techniques: regression, classification, and manifold learning M Bücker Statistical Papers 53 (4), 1065, 2012 | | 2012 |
| Local Classification of Discrete Variables by Latent Class Models M Bücker, G Szepannek, C Weihs Classification as a Tool for Research, 127-135, 2010 | | 2010 |
| Statistischer Qualitätsvergleich von Kreditausfallprognosen W Krämer, M Bücker | | 2009 |
| Statistischer Qualitätsvergleich von Kreditausfallprognosen M Bücker, W Krämer | | 2009 |
| lcda: Local Classification of Discrete Data by Latent Class Models M Bücker | | 2009 |
| Lokale Diskrimination diskreter Daten M Bücker | | 2008 |
| iscussion W Krämer, M van Kampen | | |
