| Hidden Markov models for circular and linear-circular time series H Holzmann, A Munk, M Suster, W Zucchini Environmental and Ecological Statistics 13, 325-347, 2006 | 121 | 2006 |
| Identifiability of finite mixtures of elliptical distributions H Holzmann, A Munk, T Gneiting Scandinavian journal of statistics 33 (4), 753-763, 2006 | 113 | 2006 |
| Non-parametric confidence bands in deconvolution density estimation N Bissantz, L Dümbgen, H Holzmann, A Munk Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2007 | 101 | 2007 |
| On identifiability in capture–recapture models H Holzmann, A Munk, W Zucchini Biometrics 62 (3), 934-936, 2006 | 75 | 2006 |
| A likelihood ratio test for bimodality in two-component mixtures with application to regional income distribution in the EU H Holzmann, S Vollmer AStA Advances in Statistical Analysis 92, 57-69, 2008 | 73 | 2008 |
| The role of the information set for forecasting—with applications to risk management H Holzmann, M Eulert | 67 | 2014 |
| Statistical inference for inverse problems N Bissantz, H Holzmann Inverse Problems 24 (3), 034009, 2008 | 59 | 2008 |
| Expectile asymptotics H Holzmann, B Klar | 57 | 2016 |
| Nonparametric identification in panels using quantiles V Chernozhukov, I Fernandez-Val, S Hoderlein, H Holzmann, W Newey Journal of Econometrics 188 (2), 378-392, 2015 | 48 | 2015 |
| The triangular model with random coefficients S Hoderlein, H Holzmann, A Meister Journal of econometrics 201 (1), 144-169, 2017 | 47 | 2017 |
| Identifiability of finite mixtures-with applications to circular distributions H Holzmann, A Munk, B Stratmann Sankhyā: The Indian Journal of Statistics, 440-449, 2004 | 47 | 2004 |
| Nonparametric identification and maximum likelihood estimation for hidden Markov models G Alexandrovich, H Holzmann, A Leister Biometrika 103 (2), 423-434, 2016 | 46 | 2016 |
| Density testing in a contaminated sample H Holzmann, N Bissantz, A Munk Journal of multivariate analysis 98 (1), 57-75, 2007 | 45 | 2007 |
| Confidence bands for inverse regression models M Birke, N Bissantz, H Holzmann Inverse Problems 26 (11), 115020, 2010 | 36 | 2010 |
| Testing for lack of fit in inverse regression—with applications to biophotonic imaging N Bissantz, G Claeskens, H Holzmann, A Munk Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 29 | 2009 |
| Focusing on regions of interest in forecast evaluation H Holzmann, B Klar | 27 | 2017 |
| Testing for image symmetries—With application to confocal microscopy N Bissantz, H Holzmann, M Pawlak IEEE Transactions on Information Theory 55 (4), 1841-1855, 2009 | 26 | 2009 |
| Peaks vs components S Vollmer, H Holzmann, F Schwaiger Review of Development Economics 17 (2), 352-364, 2013 | 23 | 2013 |
| Semiparametric location mixtures with distinct components D Hohmann, H Holzmann Statistics 47 (2), 348-362, 2013 | 23 | 2013 |
| Martingale approximations for continuous-time and discrete-time stationary Markov processes H Holzmann Stochastic processes and their applications 115 (9), 1518-1529, 2005 | 20 | 2005 |
