Interactive markov chains
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Publication:4109077
DOI10.1080/0022250X.1976.9989852zbMath0341.60040MaRDI QIDQ4109077
Publication date: 1976
Published in: The Journal of Mathematical Sociology (Search for Journal in Brave)
Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Mathematical sociology (including anthropology) (91D99)
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Asymptotic variability of nonhomogeneous Markov systems under cyclic behaviour ⋮ Asymptotic behavior of nonhomogeneous semi-Markov systems ⋮ Asymptotic behavior of some interactive population flow models ⋮ Stability and monotonicity for interactive Markov chains ⋮ A model of influence with a continuum of actions ⋮ The law of supply and demand as a law of Markov chains ⋮ How stock dependent flow rates may imply chaos in educational planning ⋮ A mathematical model of progressive literacy ⋮ A consistent nonparametric test of ergodicity for time series with applications ⋮ Recent developments in nonlinear stochastic modelling of social processes ⋮ A discrete time model of interactive diffusion ⋮ A stochastic model allowing interaction among individuals and its behavior for large populations ⋮ Interactive markovian models of ‘progressive’ trends ⋮ Free utility model for explaining the social gravity law ⋮ Individual decision‐making in dynamic collective systems ⋮ Dynamics of imitation ⋮ Approximations for interactive Markov chains in discrete and continuous time ⋮ On interactive chains with finite populations ⋮ The perturbed nonhomogeneous Markov system ⋮ A note on the substitution process as an interactive Markov Chain ⋮ Bifurcation and behavior of complex systems ⋮ A stochastic interactive model for the diffusion of information
Cites Work
- Markov Processes and Economic Analysis: The Case of Migration
- Critique of probabilistic models: Application of the Semi‐Markov model to migration
- Incorporating causal structure and exogenous information with probabilistic models: With special reference to choice, gravity, migration, and Markov chains
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