We define and prove limit results for a class of dominant Pólya sequences, which are randomly reinforced urn processes with color-specific random weights and unbounded number of possible colors. Under fairly mild assumptions on the expected reinforcement, we show that the predictive and the empirical distributions converge almost surely (a.s.) in total variation to the same random probability measure. Moreover, this measure gives probability one to the set of dominant colors for which the expected reinforcement is maximum. In the general case, the predictive probabilities and the empirical frequencies of any neighborhood of D converge a.s. to one. That is, although non-dominant colors continue to be regularly observed, their distance to D converges in probability to zero. We refine the above results with rates of convergence. We further hint potential applications of dominant Pólya sequences in randomized clinical trials and species sampling, and use our central limit results for Bayesian inference.

Infinite-color randomly reinforced urns with dominant colors

Sariev, Hristo;Fortini, Sandra;Petrone, Sonia
2023

Abstract

We define and prove limit results for a class of dominant Pólya sequences, which are randomly reinforced urn processes with color-specific random weights and unbounded number of possible colors. Under fairly mild assumptions on the expected reinforcement, we show that the predictive and the empirical distributions converge almost surely (a.s.) in total variation to the same random probability measure. Moreover, this measure gives probability one to the set of dominant colors for which the expected reinforcement is maximum. In the general case, the predictive probabilities and the empirical frequencies of any neighborhood of D converge a.s. to one. That is, although non-dominant colors continue to be regularly observed, their distance to D converges in probability to zero. We refine the above results with rates of convergence. We further hint potential applications of dominant Pólya sequences in randomized clinical trials and species sampling, and use our central limit results for Bayesian inference.
2023
2022
Sariev, Hristo; Fortini, Sandra; Petrone, Sonia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/4042563
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