Generalized linear random effects models with varying coefficients. - Gerhard Tutz 001; Göran Kauermann (Comput. Stat. Data Anal., 2003)

Penalized spline smoothing in multivariable survival models with varying coefficients. - Göran Kauermann (Comput. Stat. Data Anal., 2005)

Additive two-way hazards model with varying coefficients. - Göran Kauermann; Pavel Khomski (Comput. Stat. Data Anal., 2006)

Gedanken zur Statistikausbildung an deutschen Hochschulen. - Göran Kauermann; Hans Peter Wolf (AStA Wirtschafts und Sozialstatistisches Arch., 2008)

Stacked Laplace-EM algorithm for duration models with time-varying and random effects. - Göran Kauermann; Ronghui Xu; Florin Vaida (Comput. Stat. Data Anal., 2008)

Vorwort der Herausgeber. - Göran Kauermann; Karl Mosler (AStA Wirtschafts und Sozialstatistisches Arch., 2010)

Parsimonious Classification Via Generalized Linear Mixed Models. - Göran Kauermann; John T. Ormerod; Matthew P. Wand (J. Classif., 2010)

Functional variance estimation using penalized splines with principal component analysis. - Göran Kauermann; Michael Wegener (Stat. Comput., 2011)

Density estimation and comparison with a penalized mixture approach. - Christian Schellhase; Göran Kauermann (Comput. Stat., 2012)

On confidence intervals for semiparametric expectile regression. - Fabian Sobotka; Göran Kauermann; Linda Schulze Waltrup; Thomas Kneib (Stat. Comput., 2013)

Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas. - Göran Kauermann; Renate Meyer (Comput. Stat., 2014)

Flexible pair-copula estimation in D-vines using bivariate penalized splines. - Göran Kauermann; Christian Schellhase (Stat. Comput., 2014)

Statistik, Data Science und Big Data. - Göran Kauermann; Helmut Küchenhoff (AStA Wirtschafts und Sozialstatistisches Arch., 2016)

Mietspiegel heute. - Göran Kauermann; Michael Windmann (AStA Wirtschafts und Sozialstatistisches Arch., 2016)

Bayesian exponential random graph models with nodal random effects. - Stephanie Thiemichen; Nial Friel; Alberto Caimo; Göran Kauermann (Soc. Networks, 2016)

Smooth expectiles for panel data using penalized splines. - Linda Schulze Waltrup; Göran Kauermann (Stat. Comput., 2017)

Stable exponential random graph models with non-parametric components for large dense networks. - Stephanie Thiemichen; Göran Kauermann (Soc. Networks, 2017)

Data Science: a proposal for a curriculum. - Göran Kauermann; Thomas Seidl 001 (Int. J. Data Sci. Anal., 2018)

Tempus Volat, Hora Fugit - A Survey of Dynamic Network Models in Discrete and Continuous Time. - Cornelius Fritz; Michael Lebacher; Göran Kauermann (CoRR, 2019)

A note on parallel sampling in Markov graphs. - Verena Bauer; Karl Fürlinger; Göran Kauermann (Comput. Stat., 2019)

Embedding Space Correlation as a Measure of Domain Similarity. - Anne Beyer; Göran Kauermann; Hinrich Schütze (LREC, 2020)

Datenerhebung bei Mietspiegeln: Überblick und Einordnung aus Sicht der Statistik. - Göran Kauermann; Michael Windmann; Ralf T. Münnich (AStA Wirtschafts und Sozialstatistisches Arch., 2020)

Data Science - Einige Gedanken aus Sicht eines Statistikers. - Göran Kauermann (Inform. Spektrum, 2020)

Separable and semiparametric network-based counting processes applied to the international combat aircraft trades. - Cornelius Fritz; Paul W. Thurner; Göran Kauermann (Netw. Sci., 2021)

Iterative estimation of mixed exponential random graph models with nodal random effects. - Sevag Kevork; Göran Kauermann (Netw. Sci., 2021)

Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. - Yu-Wen Huang; Christian Prehofer; William Lindskog; Ron Puts; Pietro Mosca; Göran Kauermann (INTSYS, 2022)

An update on excess mortality in the second year of the COVID-19 pandemic in Germany. - Giacomo De Nicola; Göran Kauermann (AStA Wirtschafts und Sozialstatistisches Arch., 2022)

On assessing excess mortality in Germany during the COVID-19 pandemic. - Giacomo De Nicola; Göran Kauermann; Michael Höhle (AStA Wirtschafts und Sozialstatistisches Arch., 2022)

Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. - Cornelius Fritz; Marius Mehrl; Paul W. Thurner; Göran Kauermann (CoRR, 2022)

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? - Christoph Koller; Göran Kauermann; Xiao Xiang Zhu 001 (CoRR, 2022)

Exploring the latent social space of COVID-19 Twitter elites. - Giacomo De Nicola; Victor H. Tuekam Mambou; Göran Kauermann (CoRR, 2022)

Bipartite exponential random graph models with nodal random effects. - Sevag Kevork; Göran Kauermann (Soc. Networks, 2022)

EM-based smooth graphon estimation using MCMC and spline-based approaches. - Benjamin Sischka; Göran Kauermann (Soc. Networks, 2022)

A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm. - Christoph Striegel; Jonas Biehler; Wolfgang A. Wall; Göran Kauermann (Technometrics, 2022)

The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter. - Daniel Racek; Brittany I. Davidson; Paul W. Thurner; Xiao Xiang Zhu 001; Göran Kauermann (CoRR, 2023)

Sources of Uncertainty in Machine Learning - A Statisticians' View. - Cornelia Gruber; Patrick Oliver Schenk; Malte Schierholz; Frauke Kreuter; Göran Kauermann (CoRR, 2023)

Towards Label Embedding - Measuring classification difficulty. - Katharina Hechinger; Christoph Koller; Xiao Xiang Zhu 001; Göran Kauermann (CoRR, 2023)

Challenges in Interpreting Epidemiological Surveillance Data - Experiences from Germany. - Cornelius Fritz; Giacomo De Nicola; Felix Günther 003; David Rügamer; Martje Rave; Marc Schneble; Andreas Bender 001; Maximilian Weigert; Ralph Brinks; Annika Hoyer; Ursula Berger; Helmut Küchenhoff; et al. (J. Comput. Graph. Stat., 2023)

Die Berücksichtigung von außergesetzlichen Merkmalen bei der Mietspiegelerstellung - Kausalität versus Vorhersage. - Göran Kauermann; Michael Windmann (AStA Wirtschafts und Sozialstatistisches Arch., 2023)

All that glitters is not gold: Relational events models with spurious events. - Cornelius Fritz; Marius Mehrl; Paul W. Thurner; Göran Kauermann (Netw. Sci., 2023)

Can machine learning algorithms deliver superior models for rental guides? - Oliver Trinkaus; Göran Kauermann (AStA Wirtschafts und Sozialstatistisches Arch., 2023)

Buchrezension zu "Angewandte Data Science" von Lothar Blum (Hrsg.). - Göran Kauermann (Wirtschaftsinformatik Manag., 2023)

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation? - Christoph Koller; Göran Kauermann; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Weighted high dimensional data reduction of finite element features: an application on high pressure of an abdominal aortic aneurysm. - Christoph Striegel; Jonas Biehler; Göran Kauermann (Comput. Stat., 2024)

Stochastic Block Smooth Graphon Model. - Benjamin Sischka; Göran Kauermann (J. Comput. Graph. Stat., 2025)

Nonparametric two-sample test for networks using joint graphon estimation. - Benjamin Sischka; Göran Kauermann (Netw. Sci., 2025)

Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification. - Christoph Schweden; Katharina Hechinger; Göran Kauermann; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction. - Léo Meynent; Ivan Melev; Konstantin Schürholt; Göran Kauermann; Damian Borth (CoRR, 2025)

Mietwohnungen in München - Ein Vergleich von Zensusdaten und Mietspiegeldaten. - Michael Windmann; Adrian Reichert; Michael Fürnrohr; Göran Kauermann (AStA Wirtschafts und Sozialstatistisches Arch., 2025)

Position: There Is No Free Bayesian Uncertainty Quantification. - Ivan Melev; Göran Kauermann (CoRR, 2025)

Revisiting Active Learning under (Human) Label Variation. - Cornelia Gruber; Helen Alber; Bernd Bischl; Göran Kauermann; Barbara Plank; Matthias Aßenmacher (CoRR, 2025)