Central Limit Theorems for Multicolor Urns with Dominated Colors
Patrizia Berti (Dip. di Matematica, Univ. Modena, Italy), Irene, Crimaldi (Dip. Matematica, Univ. Bologna, Italy), Luca Pratelli (Accademia, Navale, Livorno, Italy), Pietro Rigo (Dip. Economia politica e Metodi, quantitativi, Univ. Pavia, Italy)

TL;DR
This paper establishes central limit theorems for multicolor urn models with dominated colors, providing a theoretical foundation for understanding their asymptotic behavior and discussing relevant statistical applications.
Contribution
It introduces new CLTs for urn models with dominated colors, extending existing results to more complex multicolor scenarios.
Findings
Proved CLTs for urns with dominated colors
Analyzed asymptotic distributions of color proportions
Discussed applications in statistical inference
Abstract
An urn contains balls of d colors. At each time, a ball is drawn and then replaced together with a random number of balls of the same color. Assuming that some colors are dominated by others, we prove central limit theorems. Some statistical applications are discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Point processes and geometric inequalities · Bayesian Methods and Mixture Models
