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Interacting reinforced-urn systems

Published online by Cambridge University Press:  01 July 2016

Anna Maria Paganoni*
Affiliation:
Politecnico di Milano
Piercesare Secchi*
Affiliation:
Politecnico di Milano
*
Postal address: Dipartimento di Matematica ‘F. Brioschi', Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20123 Milano, Italy.
Postal address: Dipartimento di Matematica ‘F. Brioschi', Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20123 Milano, Italy.

Abstract

We introduce a class of discrete-time stochastic processes generated by interacting systems of reinforced urns. We show that such processes are asymptotically partially exchangeable and we prove a strong law of large numbers. Examples and the analysis of particular cases show that interacting reinforced-urn systems are very flexible representations for modelling countable collections of dependent and asymptotically exchangeable sequences of random variables.

MSC classification

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2004 

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References

[1] Aldous, D. J. (1985). Exchangeability and related topics. In École d'Été de Probabilités de Saint-Flour, XIII—1983 (Lecture Notes Math. 1117), Springer, Berlin, pp. 1198.Google Scholar
[2] Athreya, K. B. (1969). On a characteristic property of Pólya's urn. Studia Sci. Math. Hung. 4, 3135.Google Scholar
[3] Doksum, K. A. (1974). Tailfree and neutral random probabilities and their posterior distributions. Ann. Prob. 2, 183201.Google Scholar
[4] Eggenberger, F. and Pólya, G. (1923). Über die Statistik verketteter Vorgänge. Z. Angewandte Math. Mech. 3, 279289.Google Scholar
[5] Friedman, B. (1949). A simple urn model. Commun. Pure Appl. Math. 2, 5970.Google Scholar
[6] Hill, B. M., Lane, D. and Sudderth, W. (1980). A strong law for some generalized urn processes. Ann. Prob. 8, 214226.Google Scholar
[7] Hill, B. M., Lane, D. and Sudderth, W. (1987). Exchangeable urn processes. Ann. Prob. 15, 15861592.Google Scholar
[8] May, C., Paganoni, A. M. and Secchi, P. (2002). On a two-color generalized Pólya urn. Quaderno di Dipartimento 505/P, Dipartimento di Matematica, Politecnico di Milano.Google Scholar
[9] Muliere, P., Secchi, P. and Walker, S. G. (2000). Urn schemes and reinforced random walks. Stoch. Process. Appl. 88, 5978.CrossRefGoogle Scholar
[10] Muliere, P., Secchi, P. and Walker, S. G. (2003). Partially exchangeable processes indexed by the vertices of a (k) tree constructed via reinforcement. Quaderno di Dipartimento 543/P, Dipartimento di Matematica, Politecnico di Milano.Google Scholar
[11] Muliere, P., Secchi, P. and Walker, S. G. (2003). Reinforced random processes in continuous time. Stoch. Process. Appl. 104, 117130.CrossRefGoogle Scholar
[12] Neveu, J. (1972). Martingales à Temps Discret. Masson, Paris.Google Scholar
[13] Pemantle, R. (1990). A time-dependent version of Pólya's urn. J. Theoret. Prob. 3, 627637.Google Scholar
[14] Walker, S. and Muliere, P. (1997). Beta-Stacy processes and a generalization of the Pólya urn scheme. Ann. Statist. 25, 17621780.Google Scholar
[15] Walker, S. G. and Muliere, P. (2003). A bivariate Dirichlet process. Statist. Prob. Lett. 64, 17.Google Scholar