Comparison of BINAR(1) models with bivariate negative binomial innovations and explanatory variables
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Publication:5065278
DOI10.1080/00949655.2020.1863965OpenAlexW3120529519MaRDI QIDQ5065278
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1863965
time series of countsexplanatory variablesbivariate negative binomial distributionINARbivariate integer-valued autoregressive model
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A new INAR model based on Poisson-BE2 innovations ⋮ On the extremes of the max-INAR(1) process for time series of counts
Cites Work
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- A bivariate INAR(1) model with different thinning parameters
- Bivariate zero truncated Poisson INAR(1) process
- A geometric bivariate time series with different marginal parameters
- A bivariate \(INAR(1)\) time series model with geometric marginals
- A class of bivariate negative binomial distributions with different index parameters in the marginals
- An introduction to copulas.
- Integer valued AR processes with explanatory variables
- Influence diagnostics in log-linear integer-valued GARCH models
- Bivariate first-order random coefficient integer-valued autoregressive processes
- Estimation in a bivariate integer-valued autoregressive process
- On composite likelihood estimation of a multivariate INAR(1) model
- Bivariate Negative Binomial Generalized Linear Models for Environmental Count Data
- On a bivariate poisson distribution
- A BINAR(1) time-series model with cross-correlated COM–Poisson innovations
- FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
- On Estimation of the Bivariate Poisson INAR Process
- Flexible Bivariate INAR(1) Processes Using Copulas
- The family of the bivariate integer-valued autoregressive process (BINAR(1)) with Poisson–Lindley (PL) innovations
- A Bivariate Model based on Compound Negative Binomial Distribution
- On the bivariate negative binomial regression model
- A bivariate INAR(1) process with application
- A bivariate first-order signed integer-valued autoregressive process
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