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Anzahl der Publikationen: 7
Zeitschriftenartikel
Thurner, Paul W.; Klima, Andre; Küchenhoff, Helmut; Mauerer, Ingrid; Mang, Stefan; Walter-Rogg, Melanie; Heinrich, Tassilo; Knieper, Thomas und Schnurbus, Joachim
(2022):
Micromotives of Vote Switchers and Macrotransitions: The Case of the Immigration Issue in a Regional Earthquake Election in Germany 2018.
In: Politische Vierteljahresschrift, Bd. 63, Nr. 4: S. 663-684
[PDF, 644kB]
Mauerer, Ingrid und Tutz, Gerhard
(2022):
Heterogeneity in general multinomial choice models.
In: Statistical Methods and Applications, Bd. 32, Nr. 1: S. 129-148
Thurner, Paul W.; Mauerer, Ingrid; Bort, Maxim; Klima, André und Küchenhoff, Helmut 
ORCID: https://orcid.org/0000-0002-6372-2487
(2020):
Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections.
In: Survey Research Methods, Bd. 14, Nr. 5: S. 461-476
ORCID: https://orcid.org/0000-0002-6372-2487
(2020):
Integrating Large-Scale Online Surveys and Aggregate Data at the Constituency Level: The Estimation of Voter Transitions in the 2015 British General Elections.
In: Survey Research Methods, Bd. 14, Nr. 5: S. 461-476
Mauerer, Ingrid
(2020):
The Neglected Role and Variability of Party Intercepts in the Spatial Valence Approach.
In: Political Analysis, Bd. 28, Nr. 3, PII S104719871900041X: S. 303-317
Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. und Tutz, Gerhard
(2015):
Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the lasso approach.
In: Journal of Choice Modelling, Bd. 16: S. 23-42
Paper
Mauerer, Ingrid und Schneider, Micha
(6. August 2019):
Uncertainty in Issue Placements and Spatial Voting.
Department of Statistics: Technical Reports, Nr. 226
[PDF, 524kB]
Mauerer, Ingrid; Pößnecker, Wolfgang; Thurner, Paul W. und Tutz, Gerhard
(9. April 2014):
Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the Lasso approach.
Department of Statistics: Technical Reports, Nr. 158
[PDF, 709kB]