Discrete-valued ARMA processes
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Publication:840814
DOI10.1016/J.SPL.2009.05.025zbMath1169.62073OpenAlexW2038722238MaRDI QIDQ840814
Atanu Biswas, Peter X.-K. Song
Publication date: 14 September 2009
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2009.05.025
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Stationary stochastic processes (60G10)
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Cites Work
- Unnamed Item
- Unnamed Item
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- Discrete analogues of self-decomposability and stability
- Regression theory for categorical time series
- Regression models for nonstationary categorical time series: Asymptotic estimation theory
- STATIONARY DISCRETE AUTOREGRESSIVE-MOVING AVERAGE TIME SERIES GENERATED BY MIXTURES
- Statistical Methods in Markov Chains
- Modelling Count Data Time Series with Markov Processes Based on Binomial Thinning
- An autoregressive model for multilag Markov chains
- Autoregression for discrete processes mod 2
- Stationary Time Series Models with Exponential Dispersion Model Margins
- A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations
- Generalized Autoregressive Moving Average Models
- Time series models with univariate margins in the convolution-closed infinitely divisible class
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