Runs in coin tossing: a general approach for deriving distributions for functionals
Lars Holst, Takis Konstantopoulos

TL;DR
This paper introduces a unified method for deriving distributions of run-related functionals in sequences of independent coin tosses, generalizing previous approaches and providing new insights and asymptotic results.
Contribution
It presents a general identity and recursion for computing distributions of run functionals, unifying and extending existing methods.
Findings
Derived a general recursion for run distributions
Unified previous approaches to run analysis
Provided asymptotic results and posed open questions
Abstract
We take a fresh look at the classical problem of runs in a sequence of i.i.d.\ coin tosses and derive a general identity/recursion which can be used to compute (joint) distributions of functionals of run types. This generalizes and unifies already existing approaches. We give several examples, derive asymptotics, and pose some further questions.
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Taxonomy
TopicsAdvanced Database Systems and Queries · Logic, programming, and type systems · Computability, Logic, AI Algorithms
