8 papers
RAP-modulated Fluid Processes: First Passages and the Stationary Distribution
Nigel G. Bean, Giang T. Nguyen, Bo F. Nielsen +1
We construct a stochastic fluid process with an underlying piecewise deterministic Markov process (PDMP) akin to the one used in the construction of the rational arrival process (R…
Wong--Zakai approximations with convergence rate for stochastic differential equations with regime switching
Giang T. Nguyen, Oscar Peralta
We construct Wong--Zakai approximations of time--inhomogeneous stochastic differential equations with regime switching (RSSDEs), and provide a convergence rate. %Given a family of…
An explicit solution to the Skorokhod embedding problem for double exponential increments
Giang T. Nguyen, Oscar Peralta
Strong approximations of uniform transport processes to the standard Brownian motion rely on the Skorokhod embedding of random walk with centered double exponential increments. In…
Rate of Strong Convergence to Markov-modulated Brownian motion
Giang T. Nguyen, Oscar Peralta
In Latouche and Nguyen (2015), the authors constructed a sequence of stochastic fluid processes and showed that it converges weakly to a Markov-modulated Brownian motion (MMBM). He…
A discontinuous Galerkin method for approximating the stationary distribution of stochastic fluid-fluid processes
Nigel Bean, Giang T. Nguyen, Malgorzata M. O'Reilly +1
Introduced by Bean and O'Reilly (2014), a stochastic fluid-fluid process is a Markov processes , where the first fluid is driven by the Markov c…
Analysis of fluid flow models
Guy Latouche, Giang Nguyen
Markov-modulated fluids have a long history. They form a simple class of Markov additive processes, and were initially developed in the 1950s as models for dams and reservoirs, bef…