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- Gilles Pagès, Jacques Printems
- Monte Carlo Meth. and Appl.
- 2003

Optimal quantization has been recently revisited in multi-dimensional numerical integration (see [18]), multi-asset American option pricing (see [1]), Control Theory (see [19]) and Nonlinear Filtering Theory (see [20]). In this paper, we enlighten some numerical procedures in order to get some accurate optimal quadratic quantization of the Gaussian… (More)

- Gilles Pagès, Jacques Printems
- Monte Carlo Meth. and Appl.
- 2005

We investigate in this paper the numerical performances of quadratic functional quantization with some applications to Finance. We emphasize the rôle played by the so-called product quantizers and the Karhunen-Loève expansion of Gaussian processes, in particular the Brownian motion. We show how to build some efficient functional quantizers for Brownian… (More)

- Jacques Printems
- Monte Carlo Meth. and Appl.
- 2001

- Arnaud Debussche, Jacques Printems
- Math. Comput.
- 2009

In this paper we study the approximation of the distribution of Xt Hilbert–valued stochastic process solution of a linear parabolic stochastic partial differential equation written in an abstract form as dXt +AXt dt = Q dWt, X0 = x ∈ H, t ∈ [0, T ], driven by a Gaussian space time noise whose covariance operatorQ is given. We assume that A is a finite trace… (More)

- Vlad Bally, Gilles Pagès, Jacques Printems
- Monte Carlo Meth. and Appl.
- 2001

We investigate in this paper the numerical performances of quadratic functional quantization and their applications to Finance. We emphasize the rôle played by the so-called product quantizers and the Karhunen-Loève expansion of Gaussian processes. Numerical experiments are carried out on two classical pricing problems: Asian options in a Black-Scholes… (More)

- Emmanuel Gobet, Gilles Pagès, Huyên Pham, Jacques Printems
- SIAM J. Numerical Analysis
- 2006

In this article, we prove the convergence of a semi-discrete scheme applied to the stochastic Korteweg–de Vries equation driven by an additive and localized noise. It is the Crank–Nicholson scheme for the deterministic part and is implicit. This scheme was used in previous numerical experiments on the influence of a noise on soliton propagation [8, 9]. Its… (More)

- Mihály Kovács, Jacques Printems
- Math. Comput.
- 2014

In this paper we investigate a discrete approximation in time and in space of a Hilbert space valued stochastic process {u(t)}t∈[0,T ] satisfying a stochastic linear evolution equation with a positive-type memory term driven by an additive Gaussian noise. The equation can be written in an abstract form as du+ (∫ t 0 b(t− s)Au(s) ds ) dt = dW , t ∈ (0, T ];… (More)

This paper is concerned with numerical approximations for stochastic partial differential Zakai equation of nonlinear filtering problem. The approximation scheme is based on the representation of the solutions as weighted conditional distributions. We first accurately analyse the error caused by an Euler type scheme of time discretization. Sharp error… (More)