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20112023
most citedNadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes

23 citations · 172 across the 27 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.ST2021★ 8 cited

Nonparametric Estimation for I.I.D. Paths of a Martingale Driven Model with Application to Non-Autonomous Financial Models

Nicolas Marie

This paper deals with a projection least squares estimator of the function computed from multiple independent observations on of the process defined by $dZ_t = J_…

math.ST2021★ 3 cited

On a Projection Estimator of the Regression Function Derivative

Fabienne Comte, Nicolas Marie

In this paper, we study the estimation of the derivative of a regression function in a standard univariate regression model. The estimators are defined either by derivating nonpara…

math.PR2021★ 3 cited

On a Set-Valued Young Integral with Applications to Differential Inclusions

Laure Coutin, Nicolas Marie, Paul Raynaud de Fitte

We present a new Aumann-like integral for a Hölder multifunction with respect to a Hölder signal, based on the Young integral of a particular set of Hölder selections. This restric…

math.ST2021★ 23 cited

Nadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes

Nicolas Marie, Amélie Rosier

This paper deals with a nonparametric Nadaraya-Watson estimator of the drift function computed from independent continuous observations of a diffusion process. Risk bounds…

math.ST2021

Projection Estimators of the Stationary Density of a Differential Equation Driven by the Fractional Brownian Motion

Nicolas Marie

The paper deals with projection estimators of the density of the stationary solution to a differential equation driven by the fractional Brownian motion under a dissipativity c…

math.ST2021★ 1 cited

Tight Risk Bound for High Dimensional Time Series Completion

Pierre Alquier, Nicolas Marie, Amélie Rosier

Initially designed for independent datas, low-rank matrix completion was successfully applied in many domains to the reconstruction of partially observed high-dimensional time seri…