Starting from the hyperbolic Brownian motion as a time-changed Brownian motion, we explore a set of probabilistic models–related to the SABR model in mathematical finance–which can be obtained by geometry-preserving transformations, and show how to translate the properties of the hyperbolic Brownian motion (density, probability mass, drift) to each particular model. Our main result is an explicit expression for the probability of any of these models hitting the boundary of their domains, the proof of which relies on the properties of the aforementioned transformations as well as time-change methods
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
We construct a family of SDEs with smooth coefficients whose solutions select a reflected Brownian f...
We study the random metric space called the Brownian plane, which is closely related to the Brownian...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We consider a Brownian particle with diffusion coefficient $D$ in a $d$-dimensional ball of radius $...
The purpose of this article is to compute the expected first exit times of Brownian motion from a va...
Iterated Bessel processes R[gamma](t),t>0,[gamma]>0 and their counterparts on hyperbolic spaces, i.e...
AbstractA global lower estimate for the transition probability of the Brownian motion on a complete ...
Brosamler’s formula gives a probabilistic representation of the solution of the Neumann problem for ...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
We construct a family of SDEs with smooth coefficients whose solutions select a reflected Brownian f...
We study the random metric space called the Brownian plane, which is closely related to the Brownian...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
Brownian Motion is one of the most useful tools in the arsenal of stochastic models. This phenomenon...
We consider a Brownian particle with diffusion coefficient $D$ in a $d$-dimensional ball of radius $...
The purpose of this article is to compute the expected first exit times of Brownian motion from a va...
Iterated Bessel processes R[gamma](t),t>0,[gamma]>0 and their counterparts on hyperbolic spaces, i.e...
AbstractA global lower estimate for the transition probability of the Brownian motion on a complete ...
Brosamler’s formula gives a probabilistic representation of the solution of the Neumann problem for ...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
The expected signature is an analogue of the Laplace transform for probability measures on rough pat...
We construct a family of SDEs with smooth coefficients whose solutions select a reflected Brownian f...
We study the random metric space called the Brownian plane, which is closely related to the Brownian...