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A new stochastic process is introduced and considered - squared Bessel process with special stochastic time. The analogues of fundamental properties for Brownian motion are deduced for squared Bessel process. In particular an analogue of…

Probability · Mathematics 2014-10-14 Maciej Wiśniewolski

Path transformations are fundamental to the study of Brownian motion and related stochastic processes, offering elegant constructions of the Brownian bridge, meander, and excursion. Central to this theory is the well-established link…

Probability · Mathematics 2026-03-10 Gabriel Berzunza Ojeda , Ju-Yi Yen

In this paper, we define the squared G-Bessel process as the square of the modulus of a class of G-Brownian motions and establish that it is the unique solution to a stochastic differential equation. We then derive several path properties…

Probability · Mathematics 2026-01-21 Mingshang Hu , Renxing Li , Xue Zhang

We generalise the integration by parts formulae obtained in arXiv:1811.00518v5 [math.PR] to Bessel bridges on $[0,1]$ with arbitrary boundary values, as well as Bessel processes with arbitrary initial conditions. This allows us to write,…

Probability · Mathematics 2019-08-07 Henri Elad Altman

We consider the exact path sampling of the squared Bessel process and some other continuous-time Markov processes, such as the CIR model, constant elasticity of variance diffusion model, and hypergeometric diffusions, which can all be…

Computational Finance · Quantitative Finance 2009-10-28 Roman N. Makarov , Devin Glew

Let $X$ be a squared Bessel process. Following a Feynman-Kac approach, the Laplace transforms of joint laws of $(U, \int_0^{R_y}X_s^p\,ds)$ are studied where $R_y$ is the first hitting time of $y$ by $X$ and $U$ is a random variable…

Probability · Mathematics 2015-06-08 Umut Çetin

We present the idea of intertwining of two diffusions by Feynman-Kac operators. We present some variations and implications of the method and give examples of its applications. Among others, it turns out to be a very useful tool for finding…

Probability · Mathematics 2014-10-21 Maciej Wiśniewolski , Jacek Jakubowski

This paper is motivated by questions about averages of stochastic processes which originate in mathematical finance, originally in connection with valuing the so-called Asian options. Starting with research of Yor's in 1992, these questions…

Probability · Mathematics 2009-09-29 M. Schröder , P. Carr

The purpose of this work is to study an approximation to an abstract Bessel-type problem, which is a generalization of the extension problem associated with fractional powers of the Laplace operator. Motivated by the success of such…

Numerical Analysis · Mathematics 2019-09-11 Joshua L Padgett

The Ray--Knight theorems show that the local time processes of various path fragments derived from a one-dimensional Brownian motion $B$ are squared Bessel processes of dimensions $0$, $2$, and $4$. It is also known that for various…

Probability · Mathematics 2018-04-23 Jim Pitman , Matthias Winkel

The article discusses the fractional powers of the Bessel operator and their numerical implementation. An extensive literature is devoted to the study of fractional powers of the Laplace operator and their applications. Such degrees are…

Classical Analysis and ODEs · Mathematics 2020-08-20 Durdimurod Durdiev , Elina Shishkina , Sergei Sitnik

Given a deterministically time-changed Brownian motion $Z$ starting from 1, whose time-change $V(t)$ satisfies $V(t) > t$ for all $t > 0$, we perform an explicit construction of a process $X$ which is Brownian motion in its own filtration…

Probability · Mathematics 2013-03-01 Luciano Campi , Umut Çetin , Albina Danilova

We investigate distributions of hyperbolic Bessel processes. We find links between the hyperbolic cosine of hyperbolic Bessel processes and functionals of geometric Brownian motion. We present an explicit formula for the Laplace transform…

Probability · Mathematics 2013-12-23 Jacek Jakubowski , Maciej Wiśniewolski

The goal of this paper is to extend the classical and multiplicative fractional derivatives. For this purpose, it is introduced the new extended modified Bessel function and also given an important relation between this new function…

Classical Analysis and ODEs · Mathematics 2017-03-14 Ali Ozyapici , Yusuf Gurefe , Emine Missirli

We establish that Laplace transforms of the posterior Dirichlet process converge to those of the limiting Brownian bridge process in a neighbourhood about zero, uniformly over Glivenko-Cantelli function classes. For real-valued random…

Statistics Theory · Mathematics 2022-10-10 Kolyan Ray , Aad van der Vaart

Our first result concerns a characterisation by means of a functional equation of Poisson point processes conditioned by the value of their first moment. It leads to a generalised version of Mecke's formula. En passant, it also allows to…

Probability · Mathematics 2018-09-25 Giovanni Conforti , Tetiana Kosenkova , Sylvie Roelly

We consider the path approximation of Bessel processes and develop a new and efficient algorithm. This study is based on a recent work by the authors, on the path approximation of the Brownian motion, and on the construction of specific own…

Probability · Mathematics 2021-06-02 Madalina Deaconu , Samuel Herrmann

In the first part of this paper, we express the generalized Bessel function associated with dihedral systems and a constant multiplicity function as a infinite series of confluent Horn functions. The key ingredient leading to this…

Classical Analysis and ODEs · Mathematics 2020-09-02 Luc Deleaval , Nizar Demni

Given $a,b\ge 0$ and $t>0$, let $\rho =\{ \rho _{s}\} _{0\le s\le t}$ be a three-dimensional Bessel bridge from $a$ to $b$ over $[0,t]$. In this paper, based on a conditional identity in law between Brownian bridges stemming from Pitman's…

Probability · Mathematics 2026-05-27 Yuu Hariya

We provide Large Deviation estimates for the bridge of a $d$-dimensional general diffusion process as the conditioning time tends to $0$ and apply these results to the evaluation of the asymptotics of its exit time probabilities. We are…

Probability · Mathematics 2014-06-19 Paolo Baldi , Lucia Caramellino , Maurizia Rossi
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