Stationary gene frequency distribution in the environment fluctuating between two distinct states
From MaRDI portal
Publication:1147649
DOI10.1007/BF00275437zbMath0449.92014OpenAlexW2033050283WikidataQ52435491 ScholiaQ52435491MaRDI QIDQ1147649
Publication date: 1981
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf00275437
stochastic selectionstochastic dynamical systemfluctuating environmentlimiting stationary distributionsstationary gene frequency distribution
Genetics and epigenetics (92D10) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70) Stochastic analysis (60H99)
Related Items
Weak convergence of a sequence of stochastic difference equations to a stochastic ordinary differential equation ⋮ A mathematical model of biological evolution
Cites Work
- Unnamed Item
- Unnamed Item
- The adjoint Markoff process
- Density independent fluctuations of population size
- Random temporal variation in selection intensities: Case of large population size
- Temporal fluctuations in selection intensities: Case of small population size
- A diffusion model for population growth in random environment
- Random temporal variation in selection intensities: One-locus two-allele model
- Semigroups of conditioned shifts and approximation of Markov processes
- The effects of random selection on gene frequency
- Role of very slightly deleterious mutations in molecular evolution and polymorphism
- Synergetics. An introduction. Nonequilibrium phase transitions and self- organization in physics, chemistry and biology. 2nd enl. ed
- Use of orthogonal transformation in population genetics theory
- The effects of stochastic environments on allele frequencies in natural populations
- Effect of temporal fluctuation of selection coefficient on gene frequency in a population.
- An ergodic theorem for evolution in a random environment
- Asymptotic analysis of transport processes
- Stochastic Liouville Equations
- Classical Noise IV: Langevin Methods