Multiple values-inflated bivariate INAR time series of counts: featuring zero-one inflated Poisson-Lindly case
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Publication:6643301
DOI10.1007/s42952-024-00269-0MaRDI QIDQ6643301
Publication date: 26 November 2024
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Poisson-Lindley distributionminimum density power divergence estimatordivergence-based estimationMV-inflated BINAR modelzero-one inflated time series of counts
Cites Work
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- A Poisson INAR(1) model with serially dependent innovations
- Dual divergence estimators and tests: robustness results
- A data-based method for selecting tuning parameters in minimum distance estimators
- Poisson-Lindley INAR(1) model with applications
- Testing for parameter constancy in GARCH\((p,q)\) models
- Robust estimation for general integer-valued time series models
- Modeling and inference for multivariate time series of counts based on the INGARCH scheme
- A new estimation for INAR(1) process with Poisson distribution
- Robust inference using the exponential-polynomial divergence
- Bivariate integer-autoregressive process with an application to mutual fund flows
- The B-exponential divergence and its generalizations with applications to parametric estimation
- CUSUM test for general nonlinear integer-valued GARCH models: comparison study
- Change detection in autoregressive time series
- Robust estimation in the normal mixture model
- Test for parameter change based on the estimator minimizing density-based divergence meas\-ures
- Outliers in multivariate time series
- Poisson Autoregression
- Integer-Valued GARCH Process
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- An Introduction to Discrete‐Valued Time Series
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- The Cusum Test for Parameter Change in Time Series Models
- On Estimation of the Bivariate Poisson INAR Process
- Location and scale-based CUSUM test with application to autoregressive models
- Zero-and-one inflated Poisson–Lindley INAR(1) process for modelling count time series with extra zeros and ones
- A New Generalization of Geometric Distribution with Properties and Applications
- A bivariate INAR(1) process with application
- Choosing a robustness tuning parameter
- Retrospective Bayesian outlier detection in INGARCH series
- Multiple values-inflated time series of counts: modeling and inference based on INGARCH scheme
- Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test
- Robust estimation for bivariate integer-valued autoregressive models based on minimum density power divergence
- Robust estimation for general integer-valued autoregressive models based on the exponential-polynomial divergence
- Markov switching integer-valued generalized auto-regressive conditional heteroscedastic models for dengue counts
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