A state-space approach to polygonal line regression
โ Scribed by Nobuhisa Kashiwagi
- Publisher
- Springer Japan
- Year
- 1996
- Tongue
- English
- Weight
- 631 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0020-3157
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โฆ Synopsis
A non-Gaussian state-space model is proposed to estimate a switching trend from serial data taken at equally spaced intervals. A procedure to detect structural changes in a linear trend is also proposed. The results of a simulation study conducted to check the performance of the detection procedure are shown. A numerical illustration is provided using economic time series data.
๐ SIMILAR VOLUMES
Interpolation between unconstrained optimal input trajectories and feasible trajectories forms the basis for a computationally e$cient predictive control algorithm but lacks robustness in that uncertainty can destroy the guarantee of feasibility. To overcome this problem it is possible to introduce
Current state x; the initial state is x0 = 1 in all examples. โ Action rule r(x). โก Next state xnext = f(x, aa'), where aa' is CC, CD, DC, or DD.