We study a stochastic process X t which is a particular case of the Rayleigh process and whose square is the Bessel process, with various applications in physics, chemistry, biology, economics, finance, and other fields. The stochastic differential equation is dX t = ( nD / X t ) dt + √ 2 D dW t , where W t is the Wiener process. The drift term can arise from a logarithmic potential or from taking X t as the norm of a multidimensional random walk. Due to the singularity of the drift term for X t = 0 , different natures of boundary at the origin arise depending on the real parameter n : entrance, exit, and regular. For each of them we calculate analytically and numerically the probability density func...
It is studied the first-passage time (FPT) of a time homogeneous one-dimensional diffusion, driven b...
This chapter reviews the first passage time problem for one dimensional stochastic processes and pre...
AbstractDurbin has presented a compact formula for the first passage density of a Gaussian process, ...
We introduce a unified framework for solving first passage times of time- homogeneous diffusion proc...
First-passage-time problems are ubiquitous across many fields of study including transport processes...
International audienceThe first-passage time, defined as the time a random walker takes to reach a t...
We study the first passage statistics to adsorbing boundaries of a Brownian motion in bounded two-di...
We consider the double-barrier inverse first-passage time (IFPT) problem for Wiener process X(t), st...
Alili LarbiNovikov AlexanderSchweizer MartinYor MarcFrom both theoretical and applied perspectives, ...
We investigate the probability of the first hitting time of some discrete Markov chain that converge...
A new method for constructing first-passage-time probability density functions is outlined. This res...
The first passage is a generic concept for quantifying when a random quantity such as the position o...
Abstract The reflected Brownian motion is being used in areas such as physiology, electrochemistry a...
We consider the process {V (t) : t ≥ 0} defined by V (t) = v0eX(t) (for all t ≥ 0), where v0 > 0 an...
The First Passage Time (FPT) problem corresponds to detect the epoch when a stochastic process cross...
It is studied the first-passage time (FPT) of a time homogeneous one-dimensional diffusion, driven b...
This chapter reviews the first passage time problem for one dimensional stochastic processes and pre...
AbstractDurbin has presented a compact formula for the first passage density of a Gaussian process, ...
We introduce a unified framework for solving first passage times of time- homogeneous diffusion proc...
First-passage-time problems are ubiquitous across many fields of study including transport processes...
International audienceThe first-passage time, defined as the time a random walker takes to reach a t...
We study the first passage statistics to adsorbing boundaries of a Brownian motion in bounded two-di...
We consider the double-barrier inverse first-passage time (IFPT) problem for Wiener process X(t), st...
Alili LarbiNovikov AlexanderSchweizer MartinYor MarcFrom both theoretical and applied perspectives, ...
We investigate the probability of the first hitting time of some discrete Markov chain that converge...
A new method for constructing first-passage-time probability density functions is outlined. This res...
The first passage is a generic concept for quantifying when a random quantity such as the position o...
Abstract The reflected Brownian motion is being used in areas such as physiology, electrochemistry a...
We consider the process {V (t) : t ≥ 0} defined by V (t) = v0eX(t) (for all t ≥ 0), where v0 > 0 an...
The First Passage Time (FPT) problem corresponds to detect the epoch when a stochastic process cross...
It is studied the first-passage time (FPT) of a time homogeneous one-dimensional diffusion, driven b...
This chapter reviews the first passage time problem for one dimensional stochastic processes and pre...
AbstractDurbin has presented a compact formula for the first passage density of a Gaussian process, ...