Let p be the density of a diffusion process x(t). A variational representation for p1/2and (p/p)1/2, where p is the density of an invariant measure, is established. More explicitly, these functions are shown to be value functions of stochastic controls problems, where the controlled equation evolves backward in time. The results appear to have considerable potential both from the theoretical and computational point of view. Their extension to reflected diffusions is also considered. This work may be viewed as a rigorous counterpart of the formal Onsager-Machlup theory of nonequilibrium thermodynamic
A variational formula for positive functionals of a Poisson random measure and Brownian motion is pr...
The friction coefficient of a particle can depend on its position, as it does when the particle is n...
AbstractIn this paper, we investigate the transition probabilities for diffusion processes. In a fir...
Let p be the density of a diffusion process {x(t)}. A variational representation for p1/2and (p/p)1/...
We consider diffusion processes with a general second-order differential operator of the elliptic ty...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
A variational Lagrangian formulation for stochastic processes and for the evolution equa- tions of ...
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are i...
A new procedure for constructing transition probability density functions and first passage time ...
Existing deterministic variational inference approaches for diffusion processes use simple proposals...
We propose a procedure for constructing FPT pdf's through constant boundaries for a new diffusion pr...
Representing the solutions of partial differential equations by integrals over function space has be...
We prove that for a diffusion process the first-passage-time p.d.f. through a continuous-time functi...
Use of a Volterra second-kind integral equation is made to evaluate first passage time probability d...
The article presents a novel variational calculus to analyze the stability and the propagation of ch...
A variational formula for positive functionals of a Poisson random measure and Brownian motion is pr...
The friction coefficient of a particle can depend on its position, as it does when the particle is n...
AbstractIn this paper, we investigate the transition probabilities for diffusion processes. In a fir...
Let p be the density of a diffusion process {x(t)}. A variational representation for p1/2and (p/p)1/...
We consider diffusion processes with a general second-order differential operator of the elliptic ty...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
A variational Lagrangian formulation for stochastic processes and for the evolution equa- tions of ...
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are i...
A new procedure for constructing transition probability density functions and first passage time ...
Existing deterministic variational inference approaches for diffusion processes use simple proposals...
We propose a procedure for constructing FPT pdf's through constant boundaries for a new diffusion pr...
Representing the solutions of partial differential equations by integrals over function space has be...
We prove that for a diffusion process the first-passage-time p.d.f. through a continuous-time functi...
Use of a Volterra second-kind integral equation is made to evaluate first passage time probability d...
The article presents a novel variational calculus to analyze the stability and the propagation of ch...
A variational formula for positive functionals of a Poisson random measure and Brownian motion is pr...
The friction coefficient of a particle can depend on its position, as it does when the particle is n...
AbstractIn this paper, we investigate the transition probabilities for diffusion processes. In a fir...