Aggregation and Ensembles
Principled Combinations of Data
Bibliographic Data
| ID | 12377785 |
|---|---|
| Authors | Jacob M Montgomery (0000-0001-5632-2437, Washington University in St. Louis, corresponding author), Florian M Hollenbach (0000-0002-9599-556X, Duke University), Michael D Ward (0000-0002-6561-6186, Duke University) |
| Year | 2013 |
| Volume | 46 |
| Issue | 1 |
| Pages | 43-44 |
| Publication date | 2013-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PS Political Science & Politics (JOURNAL) |
| Journal identifiers | ISSN: 1049-0965 • E-ISSN: 1537-5935 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1049096512001552 |
| OpenAlex | W2089328889 |
| Language | EN |
| References cited | 1 |
Perhaps the major story in forecasting the 2012 election is the growing awareness of the benefits of aggregating multiple sources of data for improving prediction. Most prominently, polling analysts including Simon Jackman, Drew Linzer, and Nate Silver made the strong case, ultimately validated by the election results, that combining information from multiple polls gives a better picture of the electorate than any poll analyzed in isolation
Data science · Isolation (microbiology · Political science · Polling · Computer Science · Forecasting Techniques and Applications
| Highly cited | No |
|---|