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ORCIDGöran Kauermann
Person information
- affiliation: Ludwig Maximilians University Munich, Department of Statistics, Germany
- affiliation: Bielefeld University, Germany
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Journal Articles
- 2024
[j33]Christoph Koller
, Göran Kauermann, Xiao Xiang Zhu:
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation? IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)- 2023
- [j32]Göran Kauermann, Michael Windmann:
Die Berücksichtigung von außergesetzlichen Merkmalen bei der Mietspiegelerstellung - Kausalität versus Vorhersage. AStA Wirtschafts und Sozialstatistisches Arch. 17(2): 145-160 (2023) - [j31]Oliver Trinkaus, Göran Kauermann:
Can machine learning algorithms deliver superior models for rental guides? AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 305-330 (2023) - [j30]Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann:
All that glitters is not gold: Relational events models with spurious events. Netw. Sci. 11(2): 184-204 (2023) - [j29]Göran Kauermann:
Buchrezension zu "Angewandte Data Science" von Lothar Blum (Hrsg.). Wirtschaftsinformatik Manag. 15(6): 431-433 (2023) - 2022
- [j28]Giacomo De Nicola, Göran Kauermann, Michael Höhle:
On assessing excess mortality in Germany during the COVID-19 pandemic. AStA Wirtschafts und Sozialstatistisches Arch. 16(1): 5-20 (2022) - [j27]Giacomo De Nicola, Göran Kauermann:
An update on excess mortality in the second year of the COVID-19 pandemic in Germany. AStA Wirtschafts und Sozialstatistisches Arch. 16(1): 21-24 (2022) - [j26]Benjamin Sischka, Göran Kauermann:
EM-based smooth graphon estimation using MCMC and spline-based approaches. Soc. Networks 68: 279-295 (2022) - [j25]Sevag Kevork, Göran Kauermann:
Bipartite exponential random graph models with nodal random effects. Soc. Networks 70: 90-99 (2022) - [j24]Christoph Striegel, Jonas Biehler, Wolfgang A. Wall, Göran Kauermann:
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm. Technometrics 64(3): 279-290 (2022) - 2021
- [j23]Cornelius Fritz, Paul W. Thurner, Göran Kauermann:
Separable and semiparametric network-based counting processes applied to the international combat aircraft trades. Netw. Sci. 9(3): 291-311 (2021) - [j22]Sevag Kevork, Göran Kauermann:
Iterative estimation of mixed exponential random graph models with nodal random effects. Netw. Sci. 9(4): 478-498 (2021) - 2020
- [j21]Göran Kauermann, Michael Windmann, Ralf T. Münnich:
Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik. AStA Wirtschafts und Sozialstatistisches Arch. 14(2): 145-162 (2020) - [j20]Göran Kauermann:
Data Science - Einige Gedanken aus Sicht eines Statistikers. Inform. Spektrum 42(6): 387-393 (2020) - 2019
- [j19]Verena Bauer, Karl Fürlinger, Göran Kauermann:
A note on parallel sampling in Markov graphs. Comput. Stat. 34(3): 1087-1107 (2019) - 2018
- [j18]Göran Kauermann, Thomas Seidl:
Data Science: a proposal for a curriculum. Int. J. Data Sci. Anal. 6(3): 195-199 (2018) - 2017
- [j17]Linda Schulze Waltrup, Göran Kauermann:
Smooth expectiles for panel data using penalized splines. Stat. Comput. 27(1): 271-282 (2017) - [j16]Stephanie Thiemichen, Göran Kauermann:
Stable exponential random graph models with non-parametric components for large dense networks. Soc. Networks 49: 67-80 (2017) - 2016
- [j15]Göran Kauermann, Helmut Küchenhoff:
Statistik, Data Science und Big Data. AStA Wirtschafts und Sozialstatistisches Arch. 10(2-3): 141-150 (2016) - [j14]Göran Kauermann, Michael Windmann:
Mietspiegel heute. AStA Wirtschafts und Sozialstatistisches Arch. 10(4): 205-223 (2016) - [j13]Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann:
Bayesian exponential random graph models with nodal random effects. Soc. Networks 46: 11-28 (2016) - 2014
- [j12]Göran Kauermann, Renate Meyer:
Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas. Comput. Stat. 29(1): 283-306 (2014) - [j11]Göran Kauermann, Christian Schellhase:
Flexible pair-copula estimation in D-vines using bivariate penalized splines. Stat. Comput. 24(6): 1081-1100 (2014) - 2013
- [j10]Fabian Sobotka, Göran Kauermann, Linda Schulze Waltrup, Thomas Kneib:
On confidence intervals for semiparametric expectile regression. Stat. Comput. 23(2): 135-148 (2013) - 2012
- [j9]Christian Schellhase, Göran Kauermann:
Density estimation and comparison with a penalized mixture approach. Comput. Stat. 27(4): 757-777 (2012) - 2011
- [j8]Göran Kauermann, Michael Wegener:
Functional variance estimation using penalized splines with principal component analysis. Stat. Comput. 21(2): 159-171 (2011) - 2010
- [j7]Göran Kauermann, Karl Mosler:
Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. 4(1): 1-2 (2010) - [j6]Göran Kauermann, John T. Ormerod, Matthew P. Wand:
Parsimonious Classification Via Generalized Linear Mixed Models. J. Classif. 27(1): 89-110 (2010) - 2008
- [j5]Göran Kauermann, Hans Peter Wolf:
Gedanken zur Statistikausbildung an deutschen Hochschulen. AStA Wirtschafts und Sozialstatistisches Arch. 2(1-2): 55-73 (2008) - [j4]Göran Kauermann, Ronghui Xu, Florin Vaida:
Stacked Laplace-EM algorithm for duration models with time-varying and random effects. Comput. Stat. Data Anal. 52(5): 2514-2528 (2008) - 2006
- [j3]Göran Kauermann, Pavel Khomski:
Additive two-way hazards model with varying coefficients. Comput. Stat. Data Anal. 51(3): 1944-1956 (2006) - 2005
- [j2]Göran Kauermann:
Penalized spline smoothing in multivariable survival models with varying coefficients. Comput. Stat. Data Anal. 49(1): 169-186 (2005) - 2003
- [j1]Gerhard Tutz, Göran Kauermann:
Generalized linear random effects models with varying coefficients. Comput. Stat. Data Anal. 43(1): 13-28 (2003)
Conference and Workshop Papers
- 2022
- [c2]Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann:
Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. INTSYS 2022: 182-196 - 2020
- [c1]Anne Beyer, Göran Kauermann, Hinrich Schütze:
Embedding Space Correlation as a Measure of Domain Similarity. LREC 2020: 2431-2439
Informal and Other Publications
- 2023
- [i8]Daniel Racek, Brittany I. Davidson, Paul W. Thurner, Xiao Xiang Zhu, Göran Kauermann:
The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter. CoRR abs/2305.02770 (2023) - [i7]Christoph Striegel, Göran Kauermann, Jonas Biehler:
Weighted high dimensional data reduction of finite Element Features - An Application on High Pressure of an Abdominal Aortic Aneurysm. CoRR abs/2305.03732 (2023) - [i6]Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann:
Sources of Uncertainty in Machine Learning - A Statisticians' View. CoRR abs/2305.16703 (2023) - [i5]Katharina Hechinger, Christoph Koller, Xiao Xiang Zhu, Göran Kauermann:
Towards Label Embedding - Measuring classification difficulty. CoRR abs/2311.08874 (2023) - 2022
- [i4]Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann:
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. CoRR abs/2205.13411 (2022) - [i3]Christoph Koller, Göran Kauermann, Xiao Xiang Zhu:
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? CoRR abs/2205.15265 (2022) - [i2]Giacomo De Nicola, Victor H. Tuekam Mambou, Göran Kauermann:
Exploring the latent social space of COVID-19 Twitter elites. CoRR abs/2207.13352 (2022) - 2019
- [i1]Cornelius Fritz, Michael Lebacher, Göran Kauermann:
Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. CoRR abs/1905.10351 (2019)
Coauthor Index
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last updated on 2024-05-05 02:36 CEST by the dblp team
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