2013
DOI: 10.1017/s0021900200013516
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Randomly Reinforced Urn Designs with Prespecified Allocations

Abstract: We construct a response adaptive design, described in terms of a two-color urn model, targeting fixed asymptotic allocations. We prove asymptotic results for the process of colors generated by the urn and for the process of its compositions. An application of the proposed urn model is presented in an estimation problem context.

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Cited by 9 publications
(15 citation statements)
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References 16 publications
(12 reference statements)
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“…These convergence results are also discussed from the point of view of the statistical applications. In particular, they lead to the construction of asymptotic confidence intervals for the common limit random variable Z ∞ based on the random variables X n,j through the empirical means (4), that specifically require neither the knowledge of the initial random variables {Z 0,j : j ∈ V } nor of the exact expression of the sequence (r n ) n . For the case γ = 1, that for instance includes the case of interacting standard Pólya's urns, we also provide a statistical test, based on the random variables X n,j through the empirical means (4), to make inference on the weighted adjacency matrix W of the network.…”
Section: Framework Model and Main Ideasmentioning
confidence: 99%
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“…These convergence results are also discussed from the point of view of the statistical applications. In particular, they lead to the construction of asymptotic confidence intervals for the common limit random variable Z ∞ based on the random variables X n,j through the empirical means (4), that specifically require neither the knowledge of the initial random variables {Z 0,j : j ∈ V } nor of the exact expression of the sequence (r n ) n . For the case γ = 1, that for instance includes the case of interacting standard Pólya's urns, we also provide a statistical test, based on the random variables X n,j through the empirical means (4), to make inference on the weighted adjacency matrix W of the network.…”
Section: Framework Model and Main Ideasmentioning
confidence: 99%
“…In particular, they lead to the construction of asymptotic confidence intervals for the common limit random variable Z ∞ based on the random variables X n,j through the empirical means (4), that specifically require neither the knowledge of the initial random variables {Z 0,j : j ∈ V } nor of the exact expression of the sequence (r n ) n . For the case γ = 1, that for instance includes the case of interacting standard Pólya's urns, we also provide a statistical test, based on the random variables X n,j through the empirical means (4), to make inference on the weighted adjacency matrix W of the network. The fact that the confidence intervals and the inferential procedures presented in this work are based on X n,j , instead of Z n,j as done in [2], represents a great improvement in any area of application, since the "actions" X n,j adopted by the agents of the network are much more likely to be observed than their "personal inclinations" Z n,j of adopting these actions.…”
Section: Framework Model and Main Ideasmentioning
confidence: 99%
“…n+1,k = Y (1) n,k +X n+1,k U (1) n+1,k with Y (1) 0,k = Y 0,k , U (2) n,k = U n,k −U (1) n,k , and Y (2) n,k = Y n,k −Y (1) n,k . Then Y (2) n+1,k = Y (2) n,k +X n+1,k U (2) n+1,k with Y (2) 0,k = 0.…”
Section: A1 Proofs Of the First-order Asymptotic Propertiesmentioning
confidence: 99%
“…According to the Borel-Cantelli lemma, P(U (2) n,k = 0 infinitely often) = 0. It follows that Y (2) n,k = O (1) and Y n,k = Y (1) n,k + O(1) a.s. Hence,…”
Section: A1 Proofs Of the First-order Asymptotic Propertiesmentioning
confidence: 99%
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