Parsimonious time series modeling for high frequency climate data.
- Published in:
- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 442, doi. 10.1111/jtsa.12579
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- Publication type:
- Article
Works matching IS 01439782 AND DT 2021 AND VI 42 AND IP 4
Results: 7
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2
Corrigendum to "A Generalised Fractional Differencing Bootstrap for Long Memory Processes" Journal of Time Series Analysis 40: 467‐492 (2019) DOI: 10.1111/jtsa.12460.
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- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 492, doi. 10.1111/jtsa.12591
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- Article
3
Issue Information.
- Published in:
- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 375, doi. 10.1111/jtsa.12541
- Publication type:
- Article
4
Identifiability of structural singular vector autoregressive models.
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- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 431, doi. 10.1111/jtsa.12576
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- Publication type:
- Article
5
Threshold model with a time‐varying threshold based on Fourier approximation.
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- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 406, doi. 10.1111/jtsa.12574
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- Publication type:
- Article
6
Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models.
- Published in:
- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 471, doi. 10.1111/jtsa.12587
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- Publication type:
- Article
7
Quasi‐maximum likelihood and the kernel block bootstrap for nonlinear dynamic models.
- Published in:
- Journal of Time Series Analysis, 2021, v. 42, n. 4, p. 377, doi. 10.1111/jtsa.12573
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- Publication type:
- Article