Urn models

Author(s):  
Gunnar Blom ◽  
Lars Holst ◽  
Dennis Sandell
Keyword(s):  
1965 ◽  
Vol 2 (02) ◽  
pp. 352-376 ◽  
Author(s):  
Samuel Karlin ◽  
James McGregor

In the Ehrenfest model with continuous time one considers two urns and N balls distributed in the urns. The system is said to be in stateiif there areiballs in urn I, N −iballs in urn II. Events occur at random times and the time intervals T between successive events are independent random variables all with the same negative exponential distributionWhen an event occurs a ball is chosen at random (each of theNballs has probability 1/Nto be chosen), removed from its urn, and then placed in urn I with probabilityp, in urn II with probabilityq= 1 −p, (0 <p< 1).


1988 ◽  
Vol 1988 (1-3) ◽  
pp. 117-123 ◽  
Author(s):  
N. K. Indira ◽  
V. V. Menon
Keyword(s):  

2014 ◽  
Vol 46 (02) ◽  
pp. 585-602 ◽  
Author(s):  
Li-Xin Zhang ◽  
Feifang Hu ◽  
Siu Hung Cheung ◽  
Wai Sum Chan

The generalized Pólya urn has been extensively studied and is widely applied in many disciplines. An important application of urn models is in the development of randomized treatment allocation schemes in clinical studies. The randomly reinforced urn was recently proposed, but, although the model has some intuitively desirable properties, it lacks theoretical justification. In this paper we obtain important asymptotic properties for multicolor reinforced urn models. We derive results for the rate of convergence of the number of patients assigned to each treatment under a set of minimum required conditions and provide the distributions of the limits. Furthermore, we study the asymptotic behavior for the nonhomogeneous case.


2005 ◽  
Vol 15 (1B) ◽  
pp. 914-940 ◽  
Author(s):  
Zhi-Dong Bai ◽  
Feifang Hu
Keyword(s):  

Author(s):  
Danièle Gardy ◽  
Laurent Némirovski
Keyword(s):  

1978 ◽  
Vol 7 (1) ◽  
Author(s):  
Philip Olin
Keyword(s):  

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