Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model
Joshy Easaw, Yongmei Fang and Saeed Heravi
| Year of publication: |
2023
|
|---|---|
| Authors: | Easaw, Joshy Z. ; Fang, Yongmei ; Heravi, Saeed M. |
| Published in: |
Journal of the Operational Research Society. - London : Taylor and Francis, ISSN 1476-9360, ZDB-ID 2007775-0. - Vol. 74.2023, 3, p. 905-911
|
| Subject: | electoral poll | forecast combination | Forecasting popular votes shares | hybrid model | support vector machine | Prognoseverfahren | Forecasting model | Wahlverhalten | Voting behaviour | Präsidentschaftswahl | Presidential election | Theorie | Theory | Prognose | Forecast | Mustererkennung | Pattern recognition |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/01605682.2022.2101951 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014332233