(Discrete-measure)-valued stochastic processes

$$\renewcommand{\var}{\operatorname{Var}} \renewcommand{\dd}{\mathrm{d}} \renewcommand{\pd}{\partial} \renewcommand{\bb}[1]{\mathbb{#1}} \renewcommand{\bf}[1]{\mathbf{#1}} \renewcommand{\vv}[1]{\boldsymbol{#1}} \renewcommand{\mm}[1]{\mathrm{#1}} \renewcommand{\cc}[1]{\mathcal{#1}} \renewcommand{\oo}[1]{\operatorname{#1}} \renewcommand{\gvn}{\mid} \renewcommand{\II}{\mathbb{I}}$$

Stochastic processes indexed by time whose state is a discrete (possibly only countable) measure. Popular in, for example, mathematical models of alleles in biological evolution.

Population genetics keywords, in approximate order of generality and chronology: Fisher-Wright diffusion, Moran process, Viot-Fleming process. Obviously there are many other processes matching this broad description.

For one example, any element-wise-positive vector-valued stochastic process can be made into a discrete-measure-valued process by normalising the state vector to sum to 1. Chinese-restaurant processes as processes in time presumably fit here, although AFAICT the use of these processes in the literature is usually not the time-evolving construction, but rather the infinite-time limit of such a process, which is confusing nomenclature.

If the process does not take values in discrete measures, that would be a different notebook, which does not at the moment exist;

The Dirichlet process, despite its name is not usually sampled as a time process and in any case has boring dynamics. However, it does I believe have time-indexed extensions

References

Asselah, Amine, Pablo A. Ferrari, and Pablo Groisman. 2011. Journal of Applied Probability 48 (2): 322β32.
Donnelly, Peter, and Thomas G. Kurtz. 1996. The Annals of Probability 24 (2): 698β742.
Dunson, David B, and Ju-Hyun Park. 2008. Biometrika 95 (2): 307β23.
Ethier, S. N., and R. C. Griffiths. 1993. The Annals of Probability 21 (3): 1571β90.
Ethier, S. N., and Thomas G. Kurtz. 1993. SIAM Journal on Control and Optimization 31 (2): 345β86.
Fleming, Wendell H, and Michel Viot. 1979. Indiana University Mathematics Journal 28 (5): 817β43.
Griffin, J. E., and M. F. J. Steel. 2006. Journal of the American Statistical Association 101 (473): 179β94.
Konno, N., and T. Shiga. 1988. Probability Theory and Related Fields 79 (2): 201β25.
Marzen, S. E., and J. P. Crutchfield. 2020. arXiv:2005.03750 [Cond-Mat, Physics:nlin, Stat], May.
Moran, P. a. P. 1958. βRandom Processes in Genetics.β Mathematical Proceedings of the Cambridge Philosophical Society 54 (1): 60β71.
Nowak, Martin A. 2006. Evolutionary Dynamics: Exploring the Equations of Life. Belknap Press of Harvard University Press.

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