Urn Models and Fibonacci Series
Yiyan Ni, Myron Hlynka, Percy H. Brill

TL;DR
This paper employs probability urn models to derive and explore various identities related to Fibonacci numbers, revealing both known and novel mathematical relationships.
Contribution
It introduces a probabilistic approach using urn models to discover new and known identities involving Fibonacci series.
Findings
Derived new Fibonacci identities using urn models
Connected probabilistic models with Fibonacci series
Enhanced understanding of Fibonacci identities through probabilistic methods
Abstract
We use probability urn models to discover some known and unknown series identities involving Fibonacci numbers.
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Taxonomy
TopicsData Management and Algorithms · Advanced Database Systems and Queries
