AbstractWe consider a family of sets {As,s≥0} on the Wiener space whose boundary only satisfies smoothness conditions in a weak sense. Then, we get a precise asymptotic expansion for P(ωs∈As) for s small enough, under the usual non-degeneracy assumptions, where ωs denotes the abstract Wiener process
AbstractLet Cα([0, T] × [0, 1]) denote the set of functions f(t,x) which are α-Hölder continuous in ...
AbstractWe prove that Schilder's theorem, giving large deviations estimates for the Brownian motion ...
AbstractBy means of the Malliavin Calculus, we derive asymptotic expansion of the probability distri...
AbstractIn this article we present a method for developing certain Wiener integrals in an asymptotic...
AbstractWe prove a large deviation principle result for solutions of abstract stochastic evolution e...
AbstractLet B be a real separable Banach space with norm |ß|B, X, X1, X2, … be a sequence of centere...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176989535.Conside...
AbstractIn this paper, the limit theorems on lag increments of a Wiener process due to Chen, Kong an...
AbstractWe prove a large deviation principle for a class of semilinear stochastic partial differenti...
This thesis examines various non-Markovian and fractional processes---rough volatility models, stoch...
This paper explores the equivalences between four definitions of uniform large deviations principles...
AbstractWe study the asymptotic properties of the integral functionals of solutions of Ito stochasti...
The large deviations analysis of solutions to stochastic differential equations and related processe...
In this thesis we study asymptotic expansions for option pricing with emphasis on small noise “sing...
AbstractLet F be a square integrable random variable on the classical Wiener space and let us denote...
AbstractLet Cα([0, T] × [0, 1]) denote the set of functions f(t,x) which are α-Hölder continuous in ...
AbstractWe prove that Schilder's theorem, giving large deviations estimates for the Brownian motion ...
AbstractBy means of the Malliavin Calculus, we derive asymptotic expansion of the probability distri...
AbstractIn this article we present a method for developing certain Wiener integrals in an asymptotic...
AbstractWe prove a large deviation principle result for solutions of abstract stochastic evolution e...
AbstractLet B be a real separable Banach space with norm |ß|B, X, X1, X2, … be a sequence of centere...
This is the published version, also available here: http://dx.doi.org/10.1214/aop/1176989535.Conside...
AbstractIn this paper, the limit theorems on lag increments of a Wiener process due to Chen, Kong an...
AbstractWe prove a large deviation principle for a class of semilinear stochastic partial differenti...
This thesis examines various non-Markovian and fractional processes---rough volatility models, stoch...
This paper explores the equivalences between four definitions of uniform large deviations principles...
AbstractWe study the asymptotic properties of the integral functionals of solutions of Ito stochasti...
The large deviations analysis of solutions to stochastic differential equations and related processe...
In this thesis we study asymptotic expansions for option pricing with emphasis on small noise “sing...
AbstractLet F be a square integrable random variable on the classical Wiener space and let us denote...
AbstractLet Cα([0, T] × [0, 1]) denote the set of functions f(t,x) which are α-Hölder continuous in ...
AbstractWe prove that Schilder's theorem, giving large deviations estimates for the Brownian motion ...
AbstractBy means of the Malliavin Calculus, we derive asymptotic expansion of the probability distri...