Bayesian forecasting of electoral outcomes with new parties' competition
José G. Montalvo, Omiros Papaspiliopoulos, Timothée Stumpf-Fétizon
| Year of publication: |
2019
|
|---|---|
| Authors: | García Montalvo, José ; Papaspiliopoulos, Omiros ; Stumpf-Fétizon, Timothée |
| Published in: |
European journal of political economy. - Amsterdam [u.a.] : Elsevier, ISSN 0176-2680, ZDB-ID 623005-2. - Vol. 59.2019, p. 52-70
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| Subject: | Bayesian machine learning | Elections | Evidence synthesis | Inverse regression | Multilevel models | Bayes-Statistik | Bayesian inference | Wahlverhalten | Voting behaviour | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Künstliche Intelligenz | Artificial intelligence | Wahl | Election | Politische Partei | Political party | Ökonomische Theorie der Demokratie | Economic theory of democracy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejpoleco.2019.01.006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012309288