A simulation procedure for obtaining discretely observed values of Ornstein–Uhlenbeck processes with given (self-decomposable) marginal distribution is provided. The method proposed, based on inversion of the characteristic function, completely circumvents the problems encountered when trying to reproduce small jumps of Lévy processes. Error bounds for the proposed procedure are provided and its performance is numerically assessed
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
We study the Ornstein-Uhlenbeck process having a symmetric normal tempered stable stationary law and...
Abstract. We present a robust method for simulating an increment of a Lévy process, based on decomp...
A simulation procedure for obtaining discretely observed values of Ornstein–Uhlenbeck processes with...
A simulation procedure for obtaining discretely observed values of Ornstein-Uhlenbeck processes with...
We carry on an exploration of Lévy processes, focusing on instrumental definitions that ease our way...
In this article we propose a maximum likelihood methodology to estimate the parameters of a one-dime...
We develop a distributional decomposition approach for exactly simulating two types of Gamma-driven ...
We consider nonparametric estimation of the Lévy measure of a hidden Lévy process driving a stationa...
Abstract We consider nonparametric estimation of the Lévy measure of a hidden Lévy process driving a...
The innovation random variable for a non-negative self-decomposable random variable can have a compo...
Exact yet simple simulation algorithms are developed for a wide class of Ornstein–Uhlenbeck processe...
A numerical simulation algorithm that is exact for any time step Δt>0 is derived for the Ornstein-Uh...
Two methods of modeling for the Ornstein-Uhlenbeck process are studied in the work. This process has...
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・イ...
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
We study the Ornstein-Uhlenbeck process having a symmetric normal tempered stable stationary law and...
Abstract. We present a robust method for simulating an increment of a Lévy process, based on decomp...
A simulation procedure for obtaining discretely observed values of Ornstein–Uhlenbeck processes with...
A simulation procedure for obtaining discretely observed values of Ornstein-Uhlenbeck processes with...
We carry on an exploration of Lévy processes, focusing on instrumental definitions that ease our way...
In this article we propose a maximum likelihood methodology to estimate the parameters of a one-dime...
We develop a distributional decomposition approach for exactly simulating two types of Gamma-driven ...
We consider nonparametric estimation of the Lévy measure of a hidden Lévy process driving a stationa...
Abstract We consider nonparametric estimation of the Lévy measure of a hidden Lévy process driving a...
The innovation random variable for a non-negative self-decomposable random variable can have a compo...
Exact yet simple simulation algorithms are developed for a wide class of Ornstein–Uhlenbeck processe...
A numerical simulation algorithm that is exact for any time step Δt>0 is derived for the Ornstein-Uh...
Two methods of modeling for the Ornstein-Uhlenbeck process are studied in the work. This process has...
MI: Global COE Program Education-and-Research Hub for Mathematics-for-IndustryグローバルCOEプログラム「マス・フォア・イ...
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
We study the Ornstein-Uhlenbeck process having a symmetric normal tempered stable stationary law and...
Abstract. We present a robust method for simulating an increment of a Lévy process, based on decomp...