## Abstract We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By
โฆ LIBER โฆ
SUBSET THRESHOLD AUTOREGRESSION WITH APPLICATIONS
โ Scribed by B. Y. Thanoon
- Book ID
- 111039612
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 498 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0143-9782
No coin nor oath required. For personal study only.
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