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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

3 votes
0 answers
178 views

Most probable path for stochastic Hamiltonian systems

It is known that for a real valued stochastic process $X_t$ satisfying $$ d X_t = b(X_t) d t + \sigma d W_t $$ where $W$ is real valued Wiener process, the equation for the most probable path from …
megaproba's user avatar
  • 365
4 votes
1 answer
380 views

Hitting time of an Ornstein-Ulhenbeck process

If we consider a nice Ornstein-Uhlenbeck process $d x (t) = - \gamma x(t) \,dt + \sigma \,d w (t)$ with $x(0) = x_0 \in (-L,L)$. Here $\gamma, \sigma$ are positive constants and $w(t)$ is a Wiener pro …
megaproba's user avatar
  • 365