Sharp estimates of transition probability density for Bessel process in half-line
Kamil Bogus, Jacek Malecki

TL;DR
This paper derives precise estimates for the transition probability density of a Bessel process with non-zero index, killed upon reaching a positive level, across all relevant space and time parameters.
Contribution
It provides sharp, comprehensive estimates of the transition density for Bessel processes with non-zero index, extending understanding of their probabilistic behavior.
Findings
Sharp estimates valid for all space parameters x,y > a
Results applicable for all positive times t > 0
Enhanced understanding of Bessel process transition densities
Abstract
In this paper we study the Bessel process R_t^{(\mu)} with index \mu\neq 0 starting from x>0 and killed when it reaches a positive level a, where x>a>0. We provide sharp estimates of the transition probability density p_a^{(\mu)}(t,x,y) for the whole range of space parameters x,y>a and every t>0.
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
TopicsStochastic processes and financial applications · Bayesian Methods and Mixture Models · Stochastic processes and statistical mechanics
