activity
20042018
most citedKernel density estimation for stationary random fields

13 citations · 28 across the 11 of their papers we have counts for

collaborators

12 papers

math.PR2018

Stable limits for Markov chains via the Principle of Conditioning

Mohamed El Machkouri, Adam Jakubowski, Dalibor Volný

We study limit theorems for partial sums of instantaneous functions of a homogeneous Markov chain on a general state space. The summands are heavy-tailed and the limits are stable…

math.PR2014★ 11 cited

Orthomartingale-coboundary decomposition for stationary random fields

Mohamed El Machkouri, Davide Giraudo

We provide a new projective condition for a stationary real random field indexed by the lattice to be well approximated by an orthomartingale in the sense of Cairoli (1969).…

math.ST2013

On the asymptotic normality of frequency polygons for strongly mixing spatial processes

Mohamed El Machkouri

This paper establishes the asymptotic normality of frequency polygons in the context of stationary strongly mixing random fields indexed by . Our method allows us to consider…

math.ST2012

Kernel deconvolution estimation for random fields

Ahmed El Ghini, Mohamed El Machkouri

In this work, we establish the asymptotic normality of the deconvolution kernel density estimator in the context of strongly mixing random fields. Only minimal conditions on the ba…

math.ST2011★ 13 cited

Kernel density estimation for stationary random fields

Mohamed El Machkouri

In this paper, under natural and easily verifiable conditions, we prove the -convergence and the asymptotic normality of the Parzen-Rosenblatt density estimator for s…

math.PR2011

A central limit theorem for stationary random fields

Mohamed El Machkouri, Dalibor Volny, Wei Biao Wu

This paper establishes a central limit theorem and an invariance principle for a wide class of stationary random fields under natural and easily verifiable conditions. More precise…