Göran Kauermann

55 papers B 1Journal 53Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Using LASSO for variable selection in exponential random graph models. Soc. Networks Sergio Buttazzo, Göran Kauermann
2025	J	`jnl`	Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification. IEEE Trans. Geosci. Remote. Sens. Christoph Schweden, Katharina Hechinger, Göran Kauermann, Xiao Xiang Zhu
2025	J	`jnl`	Mietwohnungen in München - Ein Vergleich von Zensusdaten und Mietspiegeldaten. AStA Wirtschafts und Sozialstatistisches Arch. Michael Windmann, Adrian Reichert, Michael Fürnrohr, Göran Kauermann
2025	J	`jnl`	Nonparametric two-sample test for networks using joint graphon estimation. Netw. Sci. Benjamin Sischka, Göran Kauermann
2025	J	`jnl`	Position: There Is No Free Bayesian Uncertainty Quantification. CoRR Ivan Melev, Göran Kauermann
2025	J	`jnl`	Revisiting Active Learning under (Human) Label Variation. CoRR Cornelia Gruber, Helen Alber, Bernd Bischl, Göran Kauermann, Barbara Plank, Matthias Aßenmacher
2025	J	`jnl`	Stochastic Block Smooth Graphon Model. J. Comput. Graph. Stat. Benjamin Sischka, Göran Kauermann
2025	J	`jnl`	Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction. CoRR Léo Meynent, Ivan Melev, Konstantin Schürholt, Göran Kauermann, Damian Borth
2025	J	`jnl`	Zur Fortschreibung qualifizierter Mietspiegel per Stichprobe. AStA Wirtschafts und Sozialstatistisches Arch. Oliver Trinkaus, Göran Kauermann, Michael Windmann
2024	J	`jnl`	Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation? IEEE Trans. Geosci. Remote. Sens. Christoph Koller, Göran Kauermann, Xiao Xiang Zhu
2024	J	`jnl`	Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. CoRR Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann
2024	J	`jnl`	Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm. Comput. Stat. Christoph Striegel, Jonas Biehler, Göran Kauermann
2023	J	`jnl`	All that glitters is not gold: Relational events models with spurious events. Netw. Sci. Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann
2023	J	`jnl`	Buchrezension zu "Angewandte Data Science" von Lothar Blum (Hrsg.). Wirtschaftsinformatik Manag. Göran Kauermann
2023	J	`jnl`	Can machine learning algorithms deliver superior models for rental guides? AStA Wirtschafts und Sozialstatistisches Arch. Oliver Trinkaus, Göran Kauermann
2023	J	`jnl`	Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany. J. Comput. Graph. Stat. Cornelius Fritz, Giacomo De Nicola, Felix Günther, David Rügamer, Martje Rave, Marc Schneble, Andreas Bender, Maximilian Weigert, Ralph Brinks, Annika Hoyer, Ursula Berger, Helmut Küchenhoff, Göran Kauermann
2023	J	`jnl`	Die Berücksichtigung von außergesetzlichen Merkmalen bei der Mietspiegelerstellung - Kausalität versus Vorhersage. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Michael Windmann
2023	J	`jnl`	Sources of Uncertainty in Machine Learning - A Statisticians' View. CoRR Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann
2023	J	`jnl`	The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter. CoRR Daniel Racek, Brittany I. Davidson, Paul W. Thurner, Xiao Xiang Zhu, Göran Kauermann
2023	J	`jnl`	Towards Label Embedding - Measuring classification difficulty. CoRR Katharina Hechinger, Christoph Koller, Xiao Xiang Zhu, Göran Kauermann
2023	J	`jnl`	Weighted high dimensional data reduction of finite Element Features - An Application on High Pressure of an Abdominal Aortic Aneurysm. CoRR Christoph Striegel, Göran Kauermann, Jonas Biehler
2022	J	`jnl`	A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm. Technometrics Christoph Striegel, Jonas Biehler, Wolfgang A. Wall, Göran Kauermann
2022	J	`jnl`	An update on excess mortality in the second year of the COVID-19 pandemic in Germany. AStA Wirtschafts und Sozialstatistisches Arch. Giacomo De Nicola, Göran Kauermann
2022	J	`jnl`	Bipartite exponential random graph models with nodal random effects. Soc. Networks Sevag Kevork, Göran Kauermann
2022	J	`jnl`	EM-based smooth graphon estimation using MCMC and spline-based approaches. Soc. Networks Benjamin Sischka, Göran Kauermann
2022	J	`jnl`	Exploring the latent social space of COVID-19 Twitter elites. CoRR Giacomo De Nicola, Victor H. Tuekam Mambou, Göran Kauermann
2022	J	`jnl`	Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. CoRR Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann
2022	J	`jnl`	Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? CoRR Christoph Koller, Göran Kauermann, Xiao Xiang Zhu
2022	J	`jnl`	On assessing excess mortality in Germany during the COVID-19 pandemic. AStA Wirtschafts und Sozialstatistisches Arch. Giacomo De Nicola, Göran Kauermann, Michael Höhle
2022	—	`conf`	Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. INTSYS Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann
2021	J	`jnl`	Iterative estimation of mixed exponential random graph models with nodal random effects. Netw. Sci. Sevag Kevork, Göran Kauermann
2021	J	`jnl`	Separable and semiparametric network-based counting processes applied to the international combat aircraft trades. Netw. Sci. Cornelius Fritz, Paul W. Thurner, Göran Kauermann
2020	J	`jnl`	Data Science - Einige Gedanken aus Sicht eines Statistikers. Inform. Spektrum Göran Kauermann
2020	J	`jnl`	Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Michael Windmann, Ralf T. Münnich
2020	B	`conf`	Embedding Space Correlation as a Measure of Domain Similarity. LREC Anne Beyer, Göran Kauermann, Hinrich Schütze
2019	J	`jnl`	A note on parallel sampling in Markov graphs. Comput. Stat. Verena Bauer, Karl Fürlinger, Göran Kauermann
2019	J	`jnl`	Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. CoRR Cornelius Fritz, Michael Lebacher, Göran Kauermann
2018	J	`jnl`	Data Science: a proposal for a curriculum. Int. J. Data Sci. Anal. Göran Kauermann, Thomas Seidl
2017	J	`jnl`	Smooth expectiles for panel data using penalized splines. Stat. Comput. Linda Schulze Waltrup, Göran Kauermann
2017	J	`jnl`	Stable exponential random graph models with non-parametric components for large dense networks. Soc. Networks Stephanie Thiemichen, Göran Kauermann
2016	J	`jnl`	Bayesian exponential random graph models with nodal random effects. Soc. Networks Stephanie Thiemichen, Nial Friel, Alberto Caimo, Göran Kauermann
2016	J	`jnl`	Mietspiegel heute. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Michael Windmann
2016	J	`jnl`	Statistik, Data Science und Big Data. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Helmut Küchenhoff
2014	J	`jnl`	Flexible pair-copula estimation in D-vines using bivariate penalized splines. Stat. Comput. Göran Kauermann, Christian Schellhase
2014	J	`jnl`	Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas. Comput. Stat. Göran Kauermann, Renate Meyer
2013	J	`jnl`	On confidence intervals for semiparametric expectile regression. Stat. Comput. Fabian Sobotka, Göran Kauermann, Linda Schulze Waltrup, Thomas Kneib
2012	J	`jnl`	Density estimation and comparison with a penalized mixture approach. Comput. Stat. Christian Schellhase, Göran Kauermann
2011	J	`jnl`	Functional variance estimation using penalized splines with principal component analysis. Stat. Comput. Göran Kauermann, Michael Wegener
2010	J	`jnl`	Parsimonious Classification Via Generalized Linear Mixed Models. J. Classif. Göran Kauermann, John T. Ormerod, Matthew P. Wand
2010	J	`jnl`	Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Karl Mosler
2008	J	`jnl`	Gedanken zur Statistikausbildung an deutschen Hochschulen. AStA Wirtschafts und Sozialstatistisches Arch. Göran Kauermann, Hans Peter Wolf
2008	J	`jnl`	Stacked Laplace-EM algorithm for duration models with time-varying and random effects. Comput. Stat. Data Anal. Göran Kauermann, Ronghui Xu, Florin Vaida
2006	J	`jnl`	Additive two-way hazards model with varying coefficients. Comput. Stat. Data Anal. Göran Kauermann, Pavel Khomski
2005	J	`jnl`	Penalized spline smoothing in multivariable survival models with varying coefficients. Comput. Stat. Data Anal. Göran Kauermann
2003	J	`jnl`	Generalized linear random effects models with varying coefficients. Comput. Stat. Data Anal. Gerhard Tutz, Göran Kauermann