Algorithmic approach to the extinction probability of branching processes
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Publication:631488
DOI10.1007/s11009-009-9141-7zbMath1210.60094OpenAlexW2060468169MaRDI QIDQ631488
Guy Latouche, Sophie Hautphenne, Marie-Ange Remiche
Publication date: 14 March 2011
Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11009-009-9141-7
Computational methods in Markov chains (60J22) Numerical computation of solutions to systems of equations (65H10) Population dynamics (general) (92D25) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)
Related Items (14)
Extinction Probabilities of Supercritical Decomposable Branching Processes ⋮ Lyapunov exponents for branching processes in a random environment: the effect of information ⋮ A Structured Markov Chain Approach to Branching Processes ⋮ A Polynomial Time Algorithm for Computing Extinction Probabilities of Multitype Branching Processes ⋮ Matrix Structures in Queuing Models ⋮ Newton's iteration for the extinction probability of a Markovian binary tree ⋮ A modified Newton method for the quadratic vector equation arising in Markovian binary trees ⋮ On the solution of a quadratic vector equation arising in Markovian Binary Trees ⋮ The modified Newton-Shamanskii method for the solution of a quadratic vector equation arising in Markovian binary trees ⋮ Convergence of relaxed Newton method for order-convex matrix equations ⋮ Fitting Markovian binary trees using global and individual demographic data ⋮ On the link between Markovian trees and tree-structured Markov chains ⋮ Markovian Trees Subject to Catastrophes: Transient Features and Extinction Probability ⋮ Perturbation analysis of the extinction probability of a Markovian binary tree
Cites Work
- Newton's iteration for the extinction probability of a Markovian binary tree
- Markovian trees: Properties and algorithms
- Transient Markov arrival processes
- Introduction to Matrix Analytic Methods in Stochastic Modeling
- Two servers in series, studied in terms of a Markov renewal branching process
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