Random motion with gamma-distributed alternating velocities in biological modeling
Antonio Di Crescenzo, Barbara Martinucci

TL;DR
This paper studies a generalized telegraph process with gamma-distributed switching times, providing analytical expressions for its probability law and mean, motivated by biological applications involving microorganism movement.
Contribution
It introduces a novel model of alternating motion with gamma-distributed switching times, extending previous telegraph process models in biological contexts.
Findings
Derived the probability law of the process
Calculated the mean of the process
Applicable to modeling microorganism movement
Abstract
Motivated by applications in mathematical biology concerning randomly alternating motion of micro-organisms, we analyze a generalized integrated telegraph process. The random times between consecutive velocity reversals are gamma-distributed, and perform an alternating renewal process. We obtain the probability law and the mean of the process.
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
TopicsDiffusion and Search Dynamics · Mathematical Biology Tumor Growth · Gene Regulatory Network Analysis
