Journal of Applied Probability · 2013 · 47 citations · 11 references
Natural SciencesMathematicsMarkov Decision ProcessesProbability TheoryStochastic ProcessesBayesian InferenceMarkov ChainsMarkov ProcessesMonte Carlo MethodsMonte Carlo SimulationSampling TheoryHigher-order MomentsMomentsUrn Models
We study an urn model introduced in the paper of Chen and Wei (2005), where at each discrete time step m balls are drawn at random from the urn containing colors white and black. Balls are added to the urn according to the inspected colors, generalizing the well known Pólya-Eggenberger urn model, case m = 1. We provide exact expressions for the expectation and the variance of the number of white balls after n draws, and determine the structure of higher moments. Moreover, we discuss extensions to more than two colors. Furthermore, we introduce and discuss a new urn model where the sampling of the m balls is carried out in a step-by-step fashion, and also introduce a generalized Friedman's urn model.
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Limit theorems for triangular urn schemes
Svante Janson · Probability Theory and Related Fields · 2005 · 160 citations · Full text