Tabea Rebafka

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All published works

Action	Title	Year	Authors
+	Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure	2024	Valentin Kilian Tabea Rebafka Fanny Villers
+ PDF Chat	Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells	2023	Arsen Sultanov Jean‐Claude Crivello Tabea Rebafka Nataliya Sokolovska
+	Model-based clustering of multiple networks with a hierarchical algorithm	2023	Tabea Rebafka
+ PDF Chat	Model-based clustering of multiple networks with a hierarchical algorithm	2023	Tabea Rebafka
+	Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells	2023	Arsen Sultanov Jean‐Claude Crivello Tabea Rebafka Nataliya Sokolovska
+ PDF Chat	Model-based graph clustering of a collection of networks using an agglomerative algorithm	2022	Tabea Rebafka
+ PDF Chat	Self-organizing maps for exploration of partially observed data and imputation of missing values	2022	Sara Rejeb Catherine Duveau Tabea Rebafka
+ PDF Chat	False clustering rate control in mixture models	2022	Ariane Marandon Tabea Rebafka Étienne Roquain Nataliya Sokolovska
+	Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values	2022	Sara Rejeb Catherine Duveau Tabea Rebafka
+	False membership rate control in mixture models	2022	Ariane Marandon Tabea Rebafka Étienne Roquain Nataliya Sokolovska
+ PDF Chat	Powerful multiple testing of paired null hypotheses using a latent graph model	2022	Tabea Rebafka Étienne Roquain Fanny Villers
+	Properties of the stochastic approximation EM algorithm with mini-batch sampling	2020	Estelle Kuhn Catherine Matias Tabea Rebafka
+	Graph inference with clustering and false discovery rate control	2019	Tabea Rebafka Étienne Roquain Fanny Villers
+	Consistent Spectral Methods for Dimensionality Reduction	2018	Malika Kharouf Tabea Rebafka Nataliya Sokolovska
+ PDF Chat	A semiparametric extension of the stochastic block model for longitudinal networks	2018	Catarina N. Matias Tabea Rebafka Fanny Villers
+ PDF Chat	Eigenrange: A Robust Spectral Method for Dimensionality Reduction	2016	Malika Kharouf Tabea Rebafka Nataliya Sokolovska
+ PDF Chat	Nonparametric weighted estimators for biased data	2016	Fabienne Comte Tabea Rebafka
+	A semiparametric extension of the stochastic block model for longitudinal networks	2015	Catherine Matias Tabea Rebafka Fanny Villers
+	Estimation and clustering in a semiparametric Poisson process stochastic block model for longitudinal networks	2015	Catherine Matias Tabea Rebafka Fanny Villers
+ PDF Chat	Nonparametric estimation of the mixing density using polynomials	2015	Tabea Rebafka François Roueff
+	A semiparametric extension of the stochastic block model for longitudinal networks	2015	Catherine Matias Tabea Rebafka Fanny Villers
+ PDF Chat	Adaptive density estimation in the pile-up model involving measurement errors	2012	Fabienne Comte Tabea Rebafka
+	OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals	2011	Tabea Rebafka Céline Lévy‐Leduc Maurice Charbit
+ PDF Chat	Information bounds and MCMC parameter estimation for the pile-up model	2010	Tabea Rebafka François Roueff Antoine Souloumiac
+ PDF Chat	A Corrected Likelihood Approach for the Nonlinear Transformation Model with Application to Fluorescence Lifetime Measurements Using Exponential Mixtures	2010	Tabea Rebafka François Roueff Antoine Souloumiac
+	Adaptive Density Estimation in the Pile-up Model Involving Measurement Errors	2010	Fabienne Comte Tabea Rebafka
+	Estimation dans le modèle d'empilement avec application aux mesures de la fluorescence résolue en temps	2009	Tabea Rebafka
+	Bootstrap-based tolerance intervals for application to method validation	2007	Tabea Rebafka Stéphan Clémençon Max Feinberg
+	Minimax estimation of the mixing density of a mixture of exponential distributions	2005	Tabea Rebafka

Common Coauthors

Coauthor	Papers Together
Fanny Villers	7
Nataliya Sokolovska	6
Catherine Matias	4
Étienne Roquain	4
François Roueff	3
Fabienne Comte	3
Arsen Sultanov	2
Catherine Duveau	2
Ariane Marandon	2
Jean‐Claude Crivello	2
Malika Kharouf	2
Antoine Souloumiac	2
Sara Rejeb	2
Stéphan Clémençon	1
Maurice Charbit	1
Valentin Kilian	1
Catarina N. Matias	1
Céline Lévy‐Leduc	1
Max Feinberg	1
Estelle Kuhn	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Modeling heterogeneity in random graphs through latent space models: a selective review	2014	Catherine Matias Stéphane Robin	9
+	Assessing a mixture model for clustering with the integrated completed likelihood	2000	Christophe Biernacki Gilles Celeux G. Govaert	8
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	7
+ PDF Chat	A mixture model for random graphs	2007	Jean‐Jacques Daudin Franck Picard Stéphane Robin	6
+ PDF Chat	Uncovering latent structure in valued graphs: A variational approach	2010	Mahendra Mariadassou Stéphane Robin Corinne Vacher	5
+ PDF Chat	Consistency of maximum-likelihood and variational estimators in the stochastic block model	2012	Alain Célisse Jean‐Jacques Daudin L. Pierre	5
+ PDF Chat	A stochastic EM algorithm for a semiparametric mixture model	2006	Laurent Bordes Didier Chauveau Pierre Vandekerkhove	4
+ PDF Chat	Estimating the intensity of a random measure by histogram type estimators	2008	Yannick Baraud Lucien Birgé	4
+	The Tight Constant in the Dvoretzky-Kiefer-Wolfowitz Inequality	1990	Pascal Massart	4
+	Least Squares Cross-validation for Counting Process Intensities	1993	Gérard Gregoire	4
+ PDF Chat	High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School	2011	Juliette Stehlé Nicolas Voirin Alain Barrat Ciro Cattuto Lorenzo Isella Jean-François Pinton Marco Quaggiotto Wouter Van den Broeck Corinne Régis Bruno Lina	4
+ PDF Chat	Maximum likelihood estimation for social network dynamics	2010	Tom A. B. Snijders Johan Koskinen Michael Schweinberger	4
+	Semiparametric Hidden Markov Models	2012	Jörn Dannemann	4
+	A review of reliable maximum likelihood algorithms for semiparametric mixture models	1995	Dankmar Böhning	4
+	Stochastic blockmodeling of relational event dynamics	2013	Christopher DuBois Carter T. Butts Padhraic Smyth	4
+ PDF Chat	Modern temporal network theory: a colloquium	2015	Petter Holme	4
+	A semi-parametric approach for mixture models: Application to local false discovery rate estimation	2007	Stéphane Robin Avner Bar‐Hen Jean‐Jacques Daudin L. Pierre	4
+	Estimation and Prediction for Stochastic Blockstructures	2001	Krzysztof Nowicki Tom A. B. Snijders	4
+ PDF Chat	Penalized projection estimators of the Aalen multiplicative intensity	2006	Patricia Reynaud-Bouret	4
+	Parameter identifiability in a class of random graph mixture models	2010	Elizabeth S. Allman Catherine Matias John A. Rhodes	4
+ PDF Chat	Latent self-exciting point process model for spatial-temporal networks	2014	Yoon-Sik Cho Aram Galstyan P. Jeffrey Brantingham George Tita	4
+ PDF Chat	The Geometry of Mixture Likelihoods: A General Theory	1983	Bruce G. Lindsay	3
+ PDF Chat	Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model	2016	Catherine Matias Vincent Miele	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	Comparing partitions	1985	Lawrence J. Hubert Phipps Arabie	3
+	Estimating a network from multiple noisy realizations	2018	Can M. Le Keith Levin Elizaveta Levina	3
+	Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels	2013	Peter J. Bickel David Choi Xiangyu Chang Hai Zhang	3
+ PDF Chat	Mixtures of Exponential Distributions	1982	Nicholas P. Jewell	3
+ PDF Chat	Fourier Methods for Estimating Mixing Densities and Distributions	1990	Cun‐Hui Zhang	3
+ PDF Chat	Nonparametric estimation of mixing densities for discrete distributions	2005	François Roueff Tobias Rydén	3
+ PDF Chat	Information bounds and MCMC parameter estimation for the pile-up model	2010	Tabea Rebafka François Roueff Antoine Souloumiac	3
+ PDF Chat	A Gradient Algorithm Locally Equivalent to the Em Algorithm	1995	Kenneth Lange	2
+	Large-Scale Simultaneous Hypothesis Testing	2004	Bradley Efron	2
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	2
+ PDF Chat	On the Convergence Properties of the EM Algorithm	1983	Changbao Wu	2
+	An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA	2010	Matthias Hein Thomas Bühler	2
+	Plots of <i>P</i>-values to evaluate many tests simultaneously	1982	Tore Schweder Emil Spjøtvoll	2
+	MCMC Control Spreadsheets for Exponential Mixture Estimation	1999	Marie-Anne Gruet Anne Philippe Christian P. Robert	2
+ PDF Chat	Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood	2015	Étienne Côme Pierre Latouche	2
+	Model Building for Semiparametric Mixtures	2006	Ramani S. Pilla Francesco Bartolucci Bruce G. Lindsay	2
+ PDF Chat	Density estimation by wavelet thresholding	1996	David L. Donoho Iain M. Johnstone Gérard Kerkyacharian Dominique Picard	2
+	Selecting the Number of Principal Components with SURE	2014	Magnús Ö. Úlfarsson Victor Solo	2
+	Convergence of the groups posterior distribution in latent or stochastic block models	2015	Mahendra Mariadassou Catherine Matias	2
+	A Poissonian explanation for heavy tails in e-mail communication	2008	R. Dean Malmgren Daniel B. Stouffer Adilson E. Motter Luı́s A. Nunes Amaral	2
+ PDF Chat	Bayesian Modelling and Inference on Mixtures of Distributions	2005	Jean‐Michel Marin Kerrie Mengersen Christian P. Robert	2
+ PDF Chat	Contact Patterns among High School Students	2014	Julie Fournet Alain Barrat	2
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	2
+	Adaptive linear step-up procedures that control the false discovery rate	2006	Yoav Benjamini Abba M. Krieger Daniel Yekutieli	2
+	Dynamic Regression Models for Survival Data	2006	Torben Martinussen Thomas Scheike	2
+ PDF Chat	Adaptive demixing in Poisson mixture models	1997	Nicolas Hengartner	2