AbstractUnder the framework of G-expectation and G-Brownian motion, we introduce Itô’s integral for stochastic processes without assuming quasi-continuity. Then we can obtain Itô’s integral on stopping time interval. This new formulation permits us to obtain Itô’s formula for a general C1,2-function, which essentially generalizes the previous results of Peng (2006, 2008, 2009, 2010, 2010) [21–25] as well as those of Gao (2009) [8] and Zhang et al. (2010) [27]
A general stochastic integration theory for adapted and instantly independent stochastic processes a...
Stochastic integration \textit{wrt} Gaussian processes has raised strong interest in recent years, m...
Stochastic integration with respect to Gaussian processes, such as fractional Brownian motion (fBm) ...
AbstractUnder the framework of G-expectation and G-Brownian motion, we introduce Itô’s integral for ...
We introduce a notion of nonlinear expectation — G-expectation — generated by a nonlinear heat equat...
We develop a notion of nonlinear expectation-G-expectation-generated by a nonlinear heat equation wi...
AbstractLet (Ω,J,P;Jz) be a probability space with an increasing family of sub-σ-fields {Jz, z ∈ D},...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
International audienceIn this paper, we introduce the idea of integral with respect to increasing pr...
AbstractWe develop a notion of nonlinear expectation–G-expectation–generated by a nonlinear heat equ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
International audienceStochastic integration with respect to Gaussian processes has raised strong in...
We extend to stochastic integral processes with deterministic integrands the results previously ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
A general stochastic integration theory for adapted and instantly independent stochastic processes a...
Stochastic integration \textit{wrt} Gaussian processes has raised strong interest in recent years, m...
Stochastic integration with respect to Gaussian processes, such as fractional Brownian motion (fBm) ...
AbstractUnder the framework of G-expectation and G-Brownian motion, we introduce Itô’s integral for ...
We introduce a notion of nonlinear expectation — G-expectation — generated by a nonlinear heat equat...
We develop a notion of nonlinear expectation-G-expectation-generated by a nonlinear heat equation wi...
AbstractLet (Ω,J,P;Jz) be a probability space with an increasing family of sub-σ-fields {Jz, z ∈ D},...
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic...
International audienceIn this paper, we introduce the idea of integral with respect to increasing pr...
AbstractWe develop a notion of nonlinear expectation–G-expectation–generated by a nonlinear heat equ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
International audienceStochastic integration with respect to Gaussian processes has raised strong in...
We extend to stochastic integral processes with deterministic integrands the results previously ...
We extend to stochastic integral processes with deterministic integrands the results previously ...
A general stochastic integration theory for adapted and instantly independent stochastic processes a...
Stochastic integration \textit{wrt} Gaussian processes has raised strong interest in recent years, m...
Stochastic integration with respect to Gaussian processes, such as fractional Brownian motion (fBm) ...