Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Villers, Fanny"'
For the problem of inferring a Gaussian graphical model (GGM), this work explores the application of a recent approach from the multiple testing literature for graph inference. The main idea of the method by Rebafka et al. (2022) is to model the data
Externí odkaz:
http://arxiv.org/abs/2402.19021
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 model parameters, clustering of the nodes and identification of the under
Externí odkaz:
http://arxiv.org/abs/1907.10176
To model recurrent interaction events in continuous time, an extension of the stochastic block model is proposed where every individual belongs to a latent group and interactions between two individuals follow a conditional inhomogeneous Poisson proc
Externí odkaz:
http://arxiv.org/abs/1512.07075
This paper is motivated by the comparison of genetic networks based on microarray samples. The aim is to test whether the differences observed between two inferred Gaussian graphical models come from real differences or arise from estimation uncertai
Externí odkaz:
http://arxiv.org/abs/1308.3568
This paper investigates an open issue related to false discovery rate (FDR) control of step-up-down (SUD) multiple testing procedures. It has been established in earlier literature that for this type of procedure, under some broad conditions, and in
Externí odkaz:
http://arxiv.org/abs/1108.5262
Exact calculations for false discovery proportion with application to least favorable configurations
Autor:
Roquain, Etienne, Villers, Fanny
Publikováno v:
The Annals of Statistics 39, 1 (2011) 584-612
In a context of multiple hypothesis testing, we provide several new exact calculations related to the false discovery proportion (FDP) of step-up and step-down procedures. For step-up procedures, we show that the number of erroneous rejections condit
Externí odkaz:
http://arxiv.org/abs/1002.2845
Autor:
Verzelen, Nicolas, Villers, Fanny
Let $(Y,(X_i)_{i\in\mathcal{I}})$ be a zero mean Gaussian vector and $V$ be a subset of $\mathcal{I}$. Suppose we are given $n$ i.i.d. replications of the vector $(Y,X)$. We propose a new test for testing that $Y$ is independent of $(X_i)_{i\in \math
Externí odkaz:
http://arxiv.org/abs/0711.2119
Publikováno v:
Statistica Sinica, 2014 Jan 01. 24(1), 1-23.
Externí odkaz:
https://www.jstor.org/stable/26432530
EXACT CALCULATIONS FOR FALSE DISCOVERY PROPORTION WITH APPLICATION TO LEAST FAVORABLE CONFIGURATIONS
Autor:
Roquain, Etienne, Villers, Fanny
Publikováno v:
The Annals of Statistics, 2011 Feb 01. 39(1), 584-612.
Externí odkaz:
https://www.jstor.org/stable/29783648
Autor:
Verzelen, Nicolas, Villers, Fanny
Publikováno v:
The Annals of Statistics, 2010 Apr 01. 38(2), 704-752.
Externí odkaz:
https://www.jstor.org/stable/25662258