Markov population processes
- 1 April 1969
- journal article
- Published by Cambridge University Press (CUP) in Journal of Applied Probability
- Vol. 6 (1), 1-18
- https://doi.org/10.2307/3212273
Abstract
Summary: The processes of the title have frequently been used to represent situations involving numbers of individuals in different categories or colonies. In such processes the state at any time is represented by the vector n = (n1, n2, …, nk), where nt is the number of individuals in the ith colony, and the random evolution of n is supposed to be that of a continuous-time Markov chain. The jumps of the chain may be of three types, corresponding to the arrival of a new individual, the departure of an existing one, or the transfer of an individual from one colony to another.Keywords
This publication has 14 references indexed in Scilit:
- Stochastic RumoursIMA Journal of Applied Mathematics, 1965
- Some Recent Work and Further Problems in the Theory of QueuesTheory of Probability and Its Applications, 1964
- The Poisson Tendency in Traffic DistributionThe Annals of Mathematical Statistics, 1963
- Unitary Dilations of One-Parameter Semigroups of Markov Transition Operators, and the Corresponding Integral Representations for Markov Processes with a Countable Infinity of StatesProceedings of the London Mathematical Society, 1959
- Random walk and electric currents in networksMathematical Proceedings of the Cambridge Philosophical Society, 1959
- Waiting Times When Queues are in TandemThe Annals of Mathematical Statistics, 1957
- Networks of Waiting LinesOperations Research, 1957
- The calculation of the ergodic projection for Markov chains and processes with a countable infinity of statesActa Mathematica, 1957
- Some contributions to the theory of denumerable Markov chainsTransactions of the American Mathematical Society, 1955
- Some Evolutionary Stochastic ProcessesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1949