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- Université de RennesFR75 papers
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8 papers · 1 filter
Rates of Convergence of Maximum Smoothed Log-Likelihood Estimators for Semi-Parametric Multivariate Mixtures
Marie Du Roy de Chaumaray, Michael Levine, Matthieu Marbac
Theoretical guarantees are established for a standard estimator in a semi-parametric finite mixture model, where each component density is modeled as a product of univariate densit…
Identifiability of total effects from abstractions of time series causal graphs
Charles K. Assaad, Emilie Devijver, Eric Gaussier +2
We study the problem of identifiability of the total effect of an intervention from observational time series in the situation, common in practice, where one only has access to abs…
Minimax properties of Dirichlet kernel density estimators
Karine Bertin, Christian Genest, Nicolas Klutchnikoff +1
This paper considers the asymptotic behavior in -Hölder spaces, and under losses, of a Dirichlet kernel density estimator proposed by Aitchison and Lauder (1985) for the a…
Adaptive estimation of irregular mean and covariance functions
Steven Golovkine, Nicolas Klutchnikoff, Valentin Patilea
Nonparametric estimators for the mean and the covariance functions of functional data are proposed. The setup covers a wide range of practical situations. The random trajectories a…
On the Estimation of Latent Distances Using Graph Distances
Ery Arias-Castro, Antoine Channarond, Bruno Pelletier +1
We are given the adjacency matrix of a geometric graph and the task of recovering the latent positions. We study one of the most popular approaches which consists in using the grap…
A Geometrical Approach to Iterative Isotone Regression
Arnaud Guyader, Nicolas Jégou, Alexander B. Németh +1
In the present paper, we propose and analyze a novel method for estimating a univariate regression function of bounded variation. The underpinning idea is to combine two classical…