Small-t Expansion for the Hartman-Watson Distribution
Dan Pirjol ()
Additional contact information
Dan Pirjol: Stevens Institute of Technology
Methodology and Computing in Applied Probability, 2021, vol. 23, issue 4, 1537-1549
Abstract:
Abstract The Hartman-Watson distribution with density f r ( t ) = 1 I 0 ( r ) θ ( r , t ) $f_{r}(t)=\frac {1}{I_{0}(r)} \theta (r,t)$ with r > 0 is a probability distribution defined on t ∈ ℝ + $t \in \mathbb {R}_{+}$ , which appears in several problems of applied probability. The density of this distribution is given by an integral θ(r, t) which is difficult to evaluate numerically for small t → 0. Using saddle point methods, we obtain the first two terms of the t → 0 expansion of θ(ρ/t, t) at fixed ρ > 0.
Keywords: Asymptotic expansions; Saddle point method; Hartman-Watson distribution; 41A60; 33F05; 60-08 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11009-020-09827-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:23:y:2021:i:4:d:10.1007_s11009-020-09827-5
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009
DOI: 10.1007/s11009-020-09827-5
Access Statistics for this article
Methodology and Computing in Applied Probability is currently edited by Joseph Glaz
More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().