Parameter change test for zero-inflated generalized Poisson autoregressive models
DOI10.1080/02331888.2015.1083020zbMath1359.62376OpenAlexW2290422356MaRDI QIDQ5739682
Cathy W. S. Chen, Youngmi Lee, Sangyeol Lee
Publication date: 19 July 2016
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2015.1083020
time series of countsCUSUM testtest for parameter changeinteger-valued GARCH modelweak convergence to a Brownian bridgezero-inflated Poisson autoregressive modelconditional maximum likelihood estimator (CMLE)
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Fractional processes, including fractional Brownian motion (60G22)
Related Items (25)
Cites Work
- Unnamed Item
- Unnamed Item
- Generalized poisson regression model
- Modelling time series of counts with overdispersion
- Retrospective change detection for binary time series models
- Structural changes in autoregressive models for binary time series
- On weak dependence conditions for Poisson autoregressions
- Absolute regularity and ergodicity of Poisson count processes
- Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models
- Zero-inflated Poisson and negative binomial integer-valued GARCH models
- Analysis of zero-adjusted count data
- Time series of count data: Modeling, estimation and diagnostics
- Parameter Change Test for Poisson Autoregressive Models
- Poisson Autoregression
- Parameter change test for random coefficient integer-valued autoregressive processes with application to polio data analysis
- Markov Regression Models for Time Series: A Quasi-Likelihood Approach
- THE INTEGER-VALUED AUTOREGRESSIVE (INAR(p)) MODEL
- Modelling Count Data Time Series with Markov Processes Based on Binomial Thinning
- An integer-valued pth-order autoregressive structure (INAR(p)) process
- Integer-Valued GARCH Process
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Restricted generalized poisson regression model
- Inflated modified power series distributions with applications
- On autocorrelation in a Poisson regression model
- The Cusum Test for Parameter Change in Time Series Models
- Time Series Models Based on Generalized Linear Models: Some Further Results
- PARAMETER CHANGE TEST FOR NONLINEAR TIME SERIES MODELS WITH GARCH TYPE ERRORS
- Detection of Changes in Multivariate Time Series With Application to EEG Data
- Interventions in INGARCH processes
- Changepoints in times series of counts
- Count Data Distributions
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