Mixing properties of non-stationary INGARCH(1, 1) processes
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Publication:2073232
DOI10.3150/21-BEJ1362MaRDI QIDQ2073232
Paul Doukhan, Michael H. Neumann, Anne Leucht
Publication date: 1 February 2022
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.05854
Parametric inference (62Fxx) Inference from stochastic processes (62Mxx) Limit theorems in probability theory (60Fxx)
Cites Work
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- Log-linear Poisson autoregression
- Absolute regularity and ergodicity of Poisson count processes
- Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models
- Fractionally integrated generalized autoregressive conditional heteroskedasticity
- An introduction to the theory of point processes
- Mixing: Properties and examples
- Stochastic models for time series
- Improvements in the Poisson approximation of mixed Poisson distributions
- Asymptotic Theory of Weakly Dependent Random Processes
- Poisson Autoregression
- About the Lindeberg method for strongly mixing sequences
- Integer-Valued GARCH Process
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- An Introduction to Discrete‐Valued Time Series
- Absolute regularity of semi-contractive GARCH-type processes
- A negative binomial integer-valued GARCH model
- Softplus INGARCH Model
- Containment control of a class of heterogeneous nonlinear multi-agent systems
- Comments on: Some recent theory for autoregressive count time series
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