Distribution of a Unified $(k_1,k_2,\ldots,k_m)$-run
Savita Chaturvedi, Amit N. Kumar

TL;DR
This paper investigates the distribution and waiting times of a generalized run pattern in multi-state trials, unifying various existing patterns and demonstrating applications in DNA pattern analysis.
Contribution
It introduces a unified framework for $(k_1,k_2, ightarrow,k_m)$-runs, generalizing multiple known run patterns and deriving their distributional properties.
Findings
Unified distributional formulas for generalized runs.
Special cases recover known run distributions.
Application to DNA pattern frequency analysis.
Abstract
We explore a unified -run in multi-state trials, examining its distributional properties and waiting time distribution. Our study reveals that this particular run serves as a generalization encompassing various patterns. Additionally, we discuss various results pertaining to existing patterns as special cases. To illustrate our findings, we provide an application related to DNA frequent patterns.
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
TopicsProbability and Risk Models · Advanced Queuing Theory Analysis · Mathematical Approximation and Integration
