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#p_kauermann

GAB+25

Revisiting Active Learning Under (Human) Label Variation

Preprint (Jul. 2025)

#p_bischl #p_kauermann #p_plank

MMS+25

Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction

Weight Space Learning @ICLR 2025

#p_kauermann

SK25

Statistical Modelling of On-Street Parking Spot Occupancy in Smart Cities

Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf017. Mar. 2025

#p_kauermann

KKZ23

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation?

IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023

#p_kauermann

FKT+23

Spatial Smoothing Revisited: An Application to Rental Data in Munich

Statistical Modelling 23.5-6. Aug. 2023

#p_kauermann

FDK+23

Modelling the Large and Dynamically Growing Bipartite Network of German Patents and Inventors

Journal of the Royal Statistical Society. Series a (Statistics in Society) 186.3. Jul. 2023

#p_kauermann

FDG+22

Challenges in Interpreting Epidemiological Surveillance Data – Experiences From Germany

Journal of Computational and Graphical Statistics 32.3. Dec. 2022

#p_bischl #p_kauermann #p_kuechenhoff #p_ruegamer

FMT+22

All That Glitters Is Not Gold: Relational Events Models With Spurious Events

Network Science 11.2. Sep. 2022

#p_kauermann

SK22b

Estimation of Latent Network Flows in Bike-Sharing Systems

Statistical Modelling 22.2. Aug. 2022

#p_kauermann

FDR+22

Statistical Modelling of COVID-19 Data: Putting Generalized Additive Models to Work

Statistical Modelling 24.4. Aug. 2022

#p_kauermann #p_kuechenhoff

Fri22

Statistical Approaches to Dynamic Networks in Society

Dissertation LMU München. Jul. 2022

#p_kauermann

SK22a

Intensity Estimation on Geometric Networks With Penalized Splines

Annals of Applied Statistics 16.2. Jun. 2022

#p_kauermann

KK22

Bipartite Exponential Random Graph Models With Nodal Random Effects

Social Networks 70. Jun. 2022

#p_kauermann

FDR22

Combining Graph Neural Networks and Spatio-Temporal Disease Models to Predict COVID-19 Cases in Germany

Scientific Reports 12.3930. Mar. 2022

#p_bischl #p_kauermann #p_ruegamer

DSK22

Mixture Models and Networks: The Stochastic Block Model

Statistical Modelling 22.1-2. Feb. 2022

#p_kauermann

FK22

On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany

Journal of the Royal Statistical Society. Series a (Statistics in Society) 185.1. Jan. 2022

#p_kauermann

KK21a

Iterative Estimation of Mixed Exponential Random Graph Models With Nodal Random Effects

Network Science 9.4. Dec. 2021

#p_kauermann

FMT+21

The Role of Governmental Weapons Procurements in Forecasting Monthly Fatalities in Intrastate Conflicts: A Semiparametric Hierarchical Hurdle Model

International Interactions 48.4. Nov. 2021

#p_kauermann

FTK21

Separable and Semiparametric Network-Based Counting Processes Applied to the International Combat Aircraft Trades

Network Science 9.3. Sep. 2021

#p_kauermann

FLK20

Tempus Volat, Hora Fugit: A Survey of Tie-Oriented Dynamic Network Models in Discrete and Continuous Time

Statistica Neerlandica 74.3. Aug. 2020

#p_kauermann

BKS20

Embedding Space Correlation as a Measure of Domain Similarity

LREC 2020

#p_kauermann #p_schuetze
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