The supercritical Galton-Watson process in varying environments
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Publication:1193398
DOI10.1016/0304-4149(92)90025-LzbMath0758.60088OpenAlexW2120986701MaRDI QIDQ1193398
Publication date: 27 September 1992
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4149(92)90025-l
Related Items (20)
Multi-type branching in varying environment ⋮ Defective Galton-Watson processes in a varying environment ⋮ Limiting behaviour for superadditive bisexual Galton-Watson processes in varying environments ⋮ Measure change in multitype branching ⋮ Random fractals and tree-indexed Markov chains ⋮ A unifying approach to branching processes in a varying environment ⋮ Limit distributions of branching Markov chains ⋮ Bounds on the limiting distribution of a branching process with varying environment ⋮ The strong Malthusian behavior of growth-fragmentation processes ⋮ The cone percolation on \(\mathbb{T}_{d}\) ⋮ Dimensions of supercritical branching processes in varying environments ⋮ The disk-percolation model on graphs ⋮ Extinction in lower Hessenberg branching processes with countably many types ⋮ Trees with non-regular fractal boundary ⋮ Extremum of a time-inhomogeneous branching random walk ⋮ The cone percolation model on Galton-Watson and on spherically symmetric trees ⋮ Galton-Watson processes in varying environment and accessibility percolation ⋮ The segregated \(\Lambda\)-coalescent ⋮ The supercritical Galton-Watson process in varying environments -- Seneta-Heyde norming ⋮ An inhomogeneous controlled branching process
Cites Work
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- Limit theorems for the supercritical Galton-Watson process in varying environments
- Almost sure convergence of branching processes in varying and random environments
- A GALTON-WATSON BRANCHING PROCESS IN VARYING ENVIRONMENTS WITH ESSENTIALLY CONSTANT OFFSPRING MEANS AND TWO RATES OF GROWTH1
- On the asymptotic behaviour of branching processes with infinite mean
- On infinite composition products of probability generating functions
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