A discrete autoregressive process as a model for short-range correlations in DNA sequences

DOI10.1016/S0378-4371(03)00399-6zbMath1027.62063OpenAlexW1986223734MaRDI QIDQ1407987

W. E. Helm, Manuel Dehnert, Marc-Thorsten Hütt

Publication date: 14 September 2003

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4371(03)00399-6

zbMATH Keywords

information theoryhigher-order Markov properties

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov processes: estimation; hidden Markov models (62M05) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (4)

Serial dependence of NDARMA processes ⋮ Regularly varying tails in a queue with discrete autoregressive arrivals of order \(p\) ⋮ Mean queue size in a queue with discrete autoregressive arrivals of order \(p\) ⋮ On the equivalence between the kinetic Ising model and discrete autoregressive processes

Cites Work

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• Hidden Markov chains and the analysis of genome structure
• ENTROPY AND EXTENDED MEMORY IN DISCRETE CHAOTIC DYNAMICS
• Estimation and Modelling Repeated Patterns in High Order Markov Chains with the Mixture Transition Distribution Model

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