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20072025
most citedAsymptotics of the maximal radius of an -optimal sequence of quantizers

10 citations · 15 across the 10 of their papers we have counts for

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8 papers · 1 filter

math.PR2018★ 2 cited

A general weak and strong error analysis of the recursive quantization with an application to jump diffusions

Gilles Pagès, Abass Sagna

Observing that the recent developments of the recursive (product) quantization method induces a family of Markov chains which includes all standard discretization schemes of diffus…

math.PR2015★ 2 cited

Product Markovian quantization of an R^d -valued Euler scheme of a diffusion process with applications to finance

Fiorin Lucio, Gilles Pagès, Abass Sagna

We introduce a new approach to quantize the Euler scheme of an -valued diffusion process. This method is based on a Markovian and componentwise product quantization a…

math.PR2015

Improved error bounds for quantization based numerical schemes for BSDE and nonlinear filtering

Gilles Pagès

We take advantage of recent and new results on optimal quantization theory to improve the quadratic optimal quantization error bounds for backward stochastic differential equations…

math.PR2013

Recursive marginal quantization of the Euler scheme of a diffusion process

Gilles Pagès, Abass Sagna

We propose a new approach to quantize the marginals of the discrete Euler diffusion process. The method is built recursively and involves the conditional distribution of the margin…

math.PR2012★ 1 cited

Conditional hitting time estimation in a nonlinear filtering model by the Brownian bridge method

Christophe Pofeta, Abass Sagna

The model consists of a signal process which is a general Brownian diffusion process and an observation process , also a diffusion process, which is supposed to be correlate…

math.PR2011

Quantization based recursive Importance Sampling

Noufel Frikha, Abass Sagna

We investigate in this paper an alternative method to simulation based recursive importance sampling procedure to estimate the optimal change of measure for Monte Carlo simulations…