The demographic variation process of branching random fields
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Publication:1110902
DOI10.1016/0047-259X(88)90047-4zbMath0657.60051OpenAlexW2038469212MaRDI QIDQ1110902
Publication date: 1988
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(88)90047-4
functional central limit theoremmeasure-valued processgeneralized Langevin equationbranching random field with immigrationgeneralized Gaussian processesgeneralized Ornstein-Uhlenbeck processes
Generalized stochastic processes (60G20) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80) Functional limit theorems; invariance principles (60F17)
Related Items (4)
The demographic variation process of multitype branching random fields ⋮ Stability of a class of transformations of distribution-valued processes and stochastic evolution equations ⋮ Some long-range dependence processes arising from fluctuations of particle systems ⋮ Generalized solutions of a class of nuclear-space-valued stochastic evolution equations
Cites Work
- Tightness of probabilities on C([0,1;\(S_ p\)) and D([0,1];\(S_ p\))]
- High density limit theorems for infinite systems of unscaled branching Brownian motions
- Langevin equations for S'-valued Gaussian processes and fluctuation limits of infinite particle systems
- Stochastic evolution equations driven by nuclear-space-valued martingales
- On the connection between ordinary and generalized stochastic processes
- Central limit phenomena of various interacting systems
- Generalized Ornstein-Uhlenbeck processes and infinite particle branching Brownian motions
- On the sample continuity of S'-processes
- The branching diffusion with immigration
- The branching random field
- On the norm continuity of -valued Gaussian processes
- On -convergence of Markov chains
- Limit theorems for the motion of a Poisson system of independent Markovian particles with high density
- The critical measure diffusion process
- Convergence cylindrique et convergence étroite d'une suite de probabilités de Radon
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