activity
20062026
most citedOn adaptive resampling strategies for sequential Monte Carlo methods

181 citations · 446 across the 49 of their papers we have counts for

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Showing 2010Show all

6 papers · 1 filter

math.PR2010★ 14 cited

Interacting Markov chain Monte Carlo methods for solving nonlinear measure-valued equations

Pierre Del Moral, Arnaud Doucet

We present a new class of interacting Markov chain Monte Carlo algorithms for solving numerically discrete-time measure-valued equations. The associated stochastic processes belong…

math.PR2010★ 2 cited

On the Stability and the Approximation of Branching Distribution Flows, with Applications to Nonlinear Multiple Target Filtering

Francois Caron, Pierre Del Moral, Michele Pace +1

We analyse the exponential stability properties of a class of measure-valued equations arising in nonlinear multi-target filtering problems. We also prove the uniform convergence p…

math.NA2010★ 1 cited

Snell envelope with path dependent multiplicative optimality criteria

Pierre Del Moral, Peng Hu, Nadia Oudjane

We analyze the Snell envelope with path dependent multiplicative optimality criteria. Especially for this case, we propose a variation of the Snell envelope backward recursion whic…

stat.AP2010★ 1 cited

Error Analysis of Approximated PCRLBs for Nonlinear Dynamics

Ming Lei, Pierre Del Moral, Christophe Baehr

In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of efficiently approximate the posterior C…

stat.CO2010★ 1 cited

Sequential Monte Carlo Methods for Option Pricing

Ajay Jasra, Pierre Del Moral

In the following paper we provide a review and development of sequential Monte Carlo (SMC) methods for option pricing. SMC are a class of Monte Carlo-based algorithms, that are des…

math.PR2010★ 3 cited

Convergence of U-statistics for interacting particle systems

P. Del Moral, F. Patras, S. Rubenthaler

The convergence of U-statistics has been intensively studied for estimators based on families of i.i.d. random variables and variants of them. In most cases, the independence assum…