Time series with discrete semistable marginals

DOI10.1007/S00362-006-0040-5zbMath1309.62148OpenAlexW1988126329MaRDI QIDQ840937

N. E. Zubov

Publication date: 14 September 2009

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

Full work available at URL: https://doi.org/10.1007/s00362-006-0040-5

zbMATH Keywords

stationaritymoving average processprobability generating functionsautoregressive processdiscrete semistable distribution

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Stationary stochastic processes (60G10) General second-order stochastic processes (60G12) Discrete-time Markov processes on general state spaces (60J05)

Related Items (6)

A geometric bivariate time series with different marginal parameters ⋮ Integer valued stable random variables ⋮ Domains of operator semi-attraction of probability measures on Banach spaces ⋮ Testing the constancy of the thinning parameter in a random coefficient integer autoregressive model ⋮ Model-based INAR bootstrap for forecasting INAR\((p)\) models ⋮ Integer valued autoregressive processes with generalized discrete Mittag-Leffler marginals

Cites Work

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• A note on mixed exponential distribution with negative weights
• Discrete analogues of self-decomposability and stability
• Scaled Sibuya distribution and discrete self-decomposability
• Discrete semi-stable distributions
• Discrete Mittag-Leffler distributions
• Parameter estimation for ARMA models with infinite variance innovations
• Autoregressive processes with Pakes and geometric Pakes generalized Linnik marginals
• On a stochastic difference equation and a representation of non–negative infinitely divisible random variables
• Autoregressive moving-average processes with negative-binomial and geometric marginal distributions
• On geometric infinite divisibility and stability

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