Hidden Markov models for circular and linear-circular time series H Holzmann, A Munk, M Suster, W Zucchini Environmental and Ecological Statistics 13 (3), 325-347, 2006 | 102 | 2006 |

Identifiability of finite mixtures of elliptical distributions H Holzmann, A Munk, T Gneiting Scandinavian journal of statistics 33 (4), 753-763, 2006 | 84 | 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 | 83 | 2007 |

On identifiability in capture–recapture models H Holzmann, A Munk, W Zucchini Biometrics 62 (3), 934-936, 2006 | 67 | 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 (1), 57-69, 2008 | 58 | 2008 |

Statistical inference for inverse problems N Bissantz, H Holzmann Inverse Problems 24 (3), 034009, 2008 | 47 | 2008 |

Density testing in a contaminated sample H Holzmann, N Bissantz, A Munk Journal of multivariate analysis 98 (1), 57-75, 2007 | 43 | 2007 |

The role of the information set for forecasting—with applications to risk management H Holzmann, M Eulert Annals of applied statistics 8 (1), 595-621, 2014 | 37 | 2014 |

The triangular model with random coefficients S Hoderlein, H Holzmann, A Meister Journal of econometrics 201 (1), 144-169, 2017 | 36 | 2017 |

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 | 35 | 2015 |

Identifiability of finite mixtures-with applications to circular distributions H Holzmann, A Munk, B Stratmann Sankhyā: The Indian Journal of Statistics, 440-449, 2004 | 34 | 2004 |

Confidence bands for inverse regression models M Birke, N Bissantz, H Holzmann Inverse Problems 26 (11), 115020, 2010 | 30 | 2010 |

Nonparametric identification and maximum likelihood estimation for hidden Markov models G Alexandrovich, H Holzmann, A Leister Biometrika 103 (2), 423-434, 2016 | 26 | 2016 |

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 | 26 | 2009 |

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 | 25 | 2009 |

Expectile asymptotics H Holzmann, B Klar Electronic Journal of Statistics 10 (2), 2355-2371, 2016 | 23 | 2016 |

Semiparametric location mixtures with distinct components D Hohmann, H Holzmann Statistics 47 (2), 348-362, 2013 | 22 | 2013 |

Peaks vs components S Vollmer, H Holzmann, F Schwaiger Review of Development Economics 17 (2), 352-364, 2013 | 19 | 2013 |

Martingale approximations for continuous-time and discrete-time stationary Markov processes H Holzmann Stochastic processes and their applications 115 (9), 1518-1529, 2005 | 19 | 2005 |

The central limit theorem for stationary Markov chains under invariant splittings M Gordin, H Holzmann Stochastics and dynamics 4 (01), 15-30, 2004 | 18 | 2004 |