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Marcel Neunhoeffer
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Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty
N Breznau, EM Rinke, A Wuttke, M Adem, J Adriaans, ...
Proceedings of the National Academy of Sciences 119 (44), 2022
1112022
How cross-validation can go wrong and what to do about it
M Neunhoeffer, S Sternberg
Political Analysis 27 (1), 101-106, 2019
552019
Private Post-GAN Boosting
M Neunhoeffer, ZS Wu, C Dwork
International Conference on Learning Representations, 2021
302021
Really Useful Synthetic Data--A Framework to Evaluate the Quality of Differentially Private Synthetic Data
C Arnold, M Neunhoeffer
arXiv preprint arXiv:2004.07740, 2020
292020
Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals
LF Stoetzer, M Neunhoeffer, T Gschwend, S Munzert, S Sternberg
Political Analysis 27 (2), 255-262, 2019
292019
Zweitstimme. org. Ein strukturell-dynamisches Vorhersagemodell für Bundestagswahlen
S Munzert, L Stötzer, T Gschwend, M Neunhoeffer, S Sternberg
PVS Politische Vierteljahresschrift 58 (3), 418-441, 2017
152017
The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.
N Breznau, EM Rinke, A Wuttke, M Adem, J Adriaans, ...
92019
How many replicators does it take to achieve reliability? Investigating researcher variability in a crowdsourced replication
N Breznau, EM Rinke, A Wuttke, HHV Nguyen, M Adem, J Adriaans, ...
SocArXiv, 2021
62021
The Zweitstimme model: A dynamic forecast of the 2021 German federal election
T Gschwend, K Müller, S Munzert, M Neunhoeffer, LF Stoetzer
PS: Political Science & Politics 55 (1), 85-90, 2022
32022
An Approach to Predicting the District Vote Shares in German Federal Elections
M Neunhoeffer, T Gschwend, S Munzert, LF Stoetzer
POLITISCHE VIERTELJAHRESSCHRIFT, 2020
3*2020
The role of hyperparameters in machine learning models and how to tune them
C Arnold, L Biedebach, A Küpfer, M Neunhoeffer
Political Science Research and Methods, 2024
12024
Continual Release of Differentially Private Synthetic Data
M Bun, M Gaboardi, M Neunhoeffer, W Zhang
arXiv preprint arXiv:2306.07884, 2023
12023
How to Improve the Substantive Interpretation of Regression Results when the Dependent Variable is logged
O Rittmann, M Neunhoeffer, T Gschwend
Political Science Research and Methods, 1-9, 2023
12023
How to improve the substantive interpretation of regression results when the dependent variable is logged–ERRATUM
O Rittmann, M Neunhoeffer, T Gschwend
Political Science Research and Methods, 1-1, 2023
2023
Generative adversarial nets for social scientists
M Neunhoeffer
2023
Book Review: Diana C Mutz, In-Your-Face Politics: The Consequences of Uncivil Media
M Neunhoeffer
Political Studies Review 16 (1), NP76-NP76, 2018
2018
Online Appendix Forecasting Elections in Multi-Party Systems: A Bayesian Approach Combining Polls and Fundamentals
LF Stoetzer, M Neunhoeffer, T Gschwend, S Munzert, S Sternberg
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