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20102026
most citedGraph inference with clustering and false discovery rate control

6 citations · 17 across the 13 of their papers we have counts for

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6 papers · 1 filter

math.ST2026

Beyond Degree: Rooted Motif Signatures for Latent Position Identifiability in Graphon Models

Roland Boniface Sogan, Tabea Rebafka

Graphon estimation requires structural assumptions to address its intrinsic non-identifiability. A standard approach is degree-based identifiability, where the degree function is a…

math.ST2022★ 1 cited

Model-based clustering of multiple networks with a hierarchical algorithm

Tabea Rebafka

The paper tackles the problem of clustering multiple networks, directed or not, that do not share the same set of vertices, into groups of networks with similar topology. A statist…

math.ST2022★ 1 cited

False membership rate control in mixture models

Ariane Marandon, Tabea Rebafka, Etienne Roquain +1

The clustering task consists in partitioning elements of a sample into homogeneous groups. Most datasets contain individuals that are ambiguous and intrinsically difficult to attri…

math.ST2019★ 6 cited

Graph inference with clustering and false discovery rate control

Tabea Rebafka, Etienne Roquain, Fanny Villers

In this paper, a noisy version of the stochastic block model (NSBM) is introduced and we investigate the three following statistical inferences in this model: estimation of the mod…

math.ST2011★ 2 cited

OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals

Tabea Rebafka, Céline Lévy-Leduc, Maurice Charbit

A transmitted, unknown radar signal is observed at the receiver through more than one path in additive noise. The aim is to recover the waveform of the intercepted signal and to si…

math.ST2010

Nonparametric estimation of the mixing density using polynomials

Tabea Rebafka, François Roueff

We consider the problem of estimating the mixing density from i.i.d. observations distributed according to a mixture density with unknown mixing distribution. In contrast w…