Bootstrap prediction intervals in state–space models
✍ Scribed by Alejandro Rodriguez; Esther Ruiz
- Book ID
- 111040089
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 243 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0143-9782
No coin nor oath required. For personal study only.
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Three general classes of state space models are presented, using the single source of error formulation. The first class is the standard linear model with homoscedastic errors, the second retains the linear structure but incorporates a dynamic form of heteroscedasticity, and the third allows for non
## Abstract Recent studies on bootstrap prediction intervals for autoregressive (AR) model provide simulation findings when the lag order is known. In practical applications, however, the AR lag order is unknown or can even be infinite. This paper is concerned with prediction intervals for AR model