Marcel Neunhoeffer
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How cross-validation can go wrong and what to do about it
M Neunhoeffer, S Sternberg
Political Analysis 27 (1), 101-106, 2019
192019
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
112019
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
92017
Private Post-GAN Boosting
M Neunhoeffer, ZS Wu, C Dwork
International Conference on Learning Representations, 2021
42021
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
32020
An Approach to Predicting the District Vote Shares in German Federal Elections
M Neunhoeffer, T Gschwend, S Munzert, LF Stoetzer
POLITISCHE VIERTELJAHRESSCHRIFT, 2020
1*2020
The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.
N Breznau, EM Rinke, A Wuttke, M Adem, J Adriaans, ...
12019
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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Artiklar 1–9