On-line monitoring of cyclical processes is studied. An important application is early prediction of the next turn in business cycles by an alarm for a turn in a leading index. Three likelihood-based methods for detection of a turn are compared in detail. One of the methods is based on a hidden Mark
Temporal aggregation of cyclical models with business cycle applications
β Scribed by Giacomo Sbrana; Andrea Silvestrini
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 362 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1613-981X
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