Hajo Holzmann

Orcid: 0000-0003-4931-0061

Affiliations:
  • University of Marburg, Germany


According to our database1, Hajo Holzmann authored at least 16 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Robust performance metrics for imbalanced classification problems.
CoRR, 2024

2022
Statistically Optimal Estimation of Signals in Modulation Spaces Using Gabor Frames.
IEEE Trans. Inf. Theory, 2022

2021
Machine learning with asymmetric abstention for biomedical decision-making.
BMC Medical Informatics Decis. Mak., 2021

2020
Testing for spherical and elliptical symmetry.
J. Multivar. Anal., 2020

2019
Nonparametric Identification in the Dynamic Stochastic Block Model.
IEEE Trans. Inf. Theory, 2019

Asymptotic confidence sets for the jump curve in bivariate regression problems.
J. Multivar. Anal., 2019

2016
Testing for the number of states in hidden Markov models.
Comput. Stat. Data Anal., 2016

2015
Hidden Markov models with state-dependent mixtures: minimal representation, model testing and applications to clustering.
Stat. Comput., 2015

2014
Confidence regions for images observed under the Radon transform.
J. Multivar. Anal., 2014

2013
On the Number of Modes of Finite Mixtures of Elliptical Distributions.
Proceedings of the Algorithms from and for Nature and Life, 2013

Asymptotics for spectral regularization estimators in statistical inverse problems.
Comput. Stat., 2013

2010
Model selection strategies for identifying most relevant covariates in homoscedastic linear models.
Comput. Stat. Data Anal., 2010

Testing for two components in a switching regression model.
Comput. Stat. Data Anal., 2010

2009
Testing for Image Symmetries - With Application to Confocal Microscopy.
IEEE Trans. Inf. Theory, 2009

2008
The likelihood ratio test for hidden Markov models in two-sample problems.
Comput. Stat. Data Anal., 2008

2005
Testing parametric assumptions on band- or time-limited signals under noise.
IEEE Trans. Inf. Theory, 2005


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