Dynamics of an Adaptive Randomly Reinforced Urn

TL;DR

This paper analyzes the dynamics of an adaptive urn model with random reinforcement and thresholds, establishing convergence properties and asymptotic distributions under various conditions, with implications for statistical applications.

Contribution

It provides new theoretical results on the convergence and distribution of an adaptive randomly reinforced urn model, including weak and strong consistency and asymptotic behavior.

Findings

Proves weak consistency of urn proportions for $m_1 eq m_2$.

Establishes strong consistency and convergence to a random variable when $m_1 = m_2$.

Derives asymptotic distribution of sampled balls in the equal mean case.

Abstract

Adaptive randomly reinforced urn (ARRU) is a two-color urn model where the updating process is defined by a sequence of non-negative random vectors $\{(D_{1,n}, D_{2,n});n\geq1\}$ and randomly evolving thresholds which utilize accruing statistical information for the updates. Let $m_1=E[D_{1,n}]$ and $m_2=E[D_{2,n}]$. Motivated by applications, in this paper we undertake a detailed study of the dynamics of the ARRU model. First, for the case $m_1 \neq m_2$, we establish $L_1$ bounds on the increments of the urn proportion at fixed and increasing times under very weak assumptions on the random threshold sequence. As a consequence, we deduce weak consistency of the evolving urn proportions. Second, under slightly stronger conditions, we establish the strong consistency of the urn proportions for all finite values of $m_1$ and $m_2$. Specifically, we show that when $m_1=m_2$ the proportion converges to a non-degenerate random variable. Third, we establish the asymptotic distribution, after appropriate centering and scaling, of the proportion of sampled balls in the case $m_1=m_2$. In the process, we settle the issue of asymptotic distribution of the number of sampled balls for a randomly reinforced urn (RRU). To address the technical issues, we establish results on the harmonic moments of the total number of balls in the urn at different times under very weak conditions, which is of independent interest.