Hysteretic Poisson INGARCH model for integer-valued time series

DOI10.1177/1471082X17703855OpenAlexW2740463054MaRDI QIDQ5142183

Songsak Sriboonchitta, Buu-Chau Truong, Cathy W. S. Chen

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x17703855

zbMATH Keywords

hysteresisMarkov chain Monte Carlotime series of countsover-dispersionPoisson INGARCH modelthreshold Poisson INGARCH model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning ⋮ Penalized empirical likelihood inference for the GINAR(p) model ⋮ A nonparametric Bayesian analysis for meningococcal disease counts based on integer-valued threshold time series models ⋮ Threshold negative binomial autoregressive model ⋮ Self-excited hysteretic negative binomial autoregression ⋮ Bayesian inference of nonlinear hysteretic integer-valued GARCH models for disease counts ⋮ Bayesian modelling of nonlinear negative binomial integer-valued GARCHX models

Cites Work

• Threshold models in non-linear time series analysis
• Autoregressive conditional negative binomial model applied to over-dispersed time series of counts
• Self-exciting threshold binomial autoregressive processes
• Minimum density power divergence estimator for Poisson autoregressive models
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• Generalized autoregressive conditional heteroscedasticity
• A model for integer-valued time series with conditional overdispersion
• Hysteretic autoregressive time series models
• Integer-Valued GARCH Process
• Model selection of a switching mechanism for financial time series
• Bayesian Measures of Model Complexity and Fit
• Interventions in log-linear Poisson autoregression
• Self-Excited Threshold Poisson Autoregression
• Equation of State Calculations by Fast Computing Machines
• On double hysteretic heteroskedastic model
• Interventions in INGARCH processes
• Monte Carlo sampling methods using Markov chains and their applications
• Retrospective Bayesian outlier detection in INGARCH series

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