output
19932026
most citedInferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation

688 citations

Showing 2012 · math.PRShow all

7 papers · 2 filters

math.PR2012★ 31 cited

Counterexamples to mean square almost periodicity of the solutions of some SDEs with almost periodic coefficients

Omar Mellah, Paul Raynaud De Fitte

We show that, contrarily to what is claimed in some papers, the nontrivial solutions of some stochastic differential equations with almost periodic coefficients are never mean squa…

math.PR2012★ 6 cited

Persistent random walks, variable length Markov chains and piecewise deterministic Markov processes

Peggy Cénac, Brigitte Chauvin, Samuel Herrmann +1

A classical random walk is defined by , where are i.i.d. When the increments are a one-…

math.PR2012★ 18 cited

Multifractal spectra of typical and prevalent measures

Frédéric Bayart

We prove that, in the Baire category sense, a typical measure supported by a compact set admits a linear lower singularity spectrum. We investigate the same question for the upper…

math.PR2012★ 75 cited

Simulation of BSDEs by Wiener chaos expansion

Philippe Briand, Céline Labart

We present an algorithm to solve BSDEs based on Wiener chaos expansion and Picard's iterations. We get a forward scheme where the conditional expectations are easily computed thank…

math.PR2012

Measure concentration through non-Lipschitz observables and functional inequalities

Arnaud Guillin, Aldéric Joulin

Non-Gaussian concentration estimates are obtained for invariant probability measures of reversible Markov processes. We show that the functional inequalities approach combined with…

math.PR2012

Moderate deviations for the Durbin-Watson statistic related to the first-order autoregressive process

S. Valère Bitseki Penda, Hacène Djellout, Frédéric Proïa

The purpose of this paper is to investigate moderate deviations for the Durbin-Watson statistic associated with the stable first-order autoregressive process where the driven noise…