Hajo Holzmann
Hajo Holzmann
Professor of Mathematical Statistics, Philipps-Universität Marburg, Germany
Verified email at mathematik.uni-marburg.de - Homepage
Cited by
Cited by
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
Identifiability of finite mixtures of elliptical distributions
H Holzmann, A Munk, T Gneiting
Scandinavian journal of statistics 33 (4), 753-763, 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
On identifiability in capture–recapture models
H Holzmann, A Munk, W Zucchini
Biometrics 62 (3), 934-936, 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
Statistical inference for inverse problems
N Bissantz, H Holzmann
Inverse Problems 24 (3), 034009, 2008
Density testing in a contaminated sample
H Holzmann, N Bissantz, A Munk
Journal of multivariate analysis 98 (1), 57-75, 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
The triangular model with random coefficients
S Hoderlein, H Holzmann, A Meister
Journal of econometrics 201 (1), 144-169, 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
Identifiability of finite mixtures-with applications to circular distributions
H Holzmann, A Munk, B Stratmann
Sankhyā: The Indian Journal of Statistics, 440-449, 2004
Confidence bands for inverse regression models
M Birke, N Bissantz, H Holzmann
Inverse Problems 26 (11), 115020, 2010
Nonparametric identification and maximum likelihood estimation for hidden Markov models
G Alexandrovich, H Holzmann, A Leister
Biometrika 103 (2), 423-434, 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
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
Expectile asymptotics
H Holzmann, B Klar
Electronic Journal of Statistics 10 (2), 2355-2371, 2016
Semiparametric location mixtures with distinct components
D Hohmann, H Holzmann
Statistics 47 (2), 348-362, 2013
Peaks vs components
S Vollmer, H Holzmann, F Schwaiger
Review of Development Economics 17 (2), 352-364, 2013
Martingale approximations for continuous-time and discrete-time stationary Markov processes
H Holzmann
Stochastic processes and their applications 115 (9), 1518-1529, 2005
The central limit theorem for stationary Markov chains under invariant splittings
M Gordin, H Holzmann
Stochastics and dynamics 4 (01), 15-30, 2004
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