Search in publications
12 results
Journal Articles
(2025):
How to improve the substantive interpretation of regression results when the dependent variable is logged
:
Political Science Research and Methods,
13,
1,
pp. 203-211.
more
(2024):
The role of hyperparameters in machine learning models and how to tune them
:
Political Science Research and Methods,
12,
4,
pp. 841-848.
more
(2022):
The Zweitstimme Model: A Dynamic Forecast of the 2021 German Federal Election
:
PS: Political Science and Politics,
55,
1,
pp. 85-90.
more
(2019):
Forecasting Elections in Multiparty Systems: A Bayesian Approach Combining Polls and Fundamentals
:
Political Analysis,
27,
2,
pp. 255-262.
more
Conference Presentations
(2021):
Simulating Quantities of Interest when the Dependent Variable is Logged
:
[
1. PolMeth Europe Conference,
(virtual conference),
]
more
(2017):
Forecasting Elections in Multi-party Systems: A Backwards Random-walk Approach
:
[
11th ECPR General Conference,
Oslo,
]
more
(2017):
Forecasting Elections in Multi-party Systems: A Backwards Random-walk Approach
:
[
Invited Talk,
University of Amsterdam,
]
more
(2017):
Forecasting Elections in Multi-party Systems: A Backwards Random-walk Approach
:
[
7th Annual General Conference of the European Political Science Association,
Milan,
]
more
Web Articles
(2021):
Learning, Teaching, and Social Interactions in Times of the COVID-19 Pandemic – Adapting a First-Semester MA/PhD Course to the Online Semester
:
Berlin,
Deutsche Vereinigung für Politikwissenschaft
more
(2021):
Teaching Quantitative Social Science in Times of COVID-19: How to Generate and Distribute Individualized Exams with R and RMarkdown
:
Mannheim,
MZES
more
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