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Jump-Diffusion Processes: State-Dependent Rates by Omar López Rubio is a document available to read on EtoBox.
This paper presents a framework for analyzing jump-diffusion processes influenced by both Brownian noise and state-dependent jump rates, focusing on the distribution of jump locations. The authors introduce an iterative map to derive the sequence of jump distributions, revealing insights into interjump times and the relationship between the full process and jump locations. Two biophysical examples, a neuronal firing model and a molecular motor stepping model, illustrate the applicability of the proposed fra
- Author
- Omar López Rubio
- Language
- EN