Asymptotic inference for nearly unstable INAR(1) models
DOI10.1239/jap/1059060900zbMath1042.62080OpenAlexW2091193747MaRDI QIDQ4462701
Márton Ispány, Gyula Pap, Martien C. A. Van Zuijlen
Publication date: 18 May 2004
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2066/19028
Galton-Watson processstable modelsINAR(1) modelnearly unstable modelsconditional least-squares estimatordiscrete-time series
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)
Related Items (18)
Cites Work
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- Partial likelihood process and asymptotic normality
- Asymptotic inference for nearly nonstationary AR(1) processes
- Discrete analogues of self-decomposability and stability
- A limit theorem on a subcritical Galton-Watson process with immigration
- Estimation of the means in the branching process with immigration
- On conditional least squares estimation for stochastic processes
- THE INTEGER-VALUED AUTOREGRESSIVE (INAR(p)) MODEL
- An integer-valued pth-order autoregressive structure (INAR(p)) process
- The Multivariate Ginar(p) Process
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- Asymptotic inference for spatial autoregression and orthogonality of Ornstein-Uhlenbeck sheets
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