71 citations · 124 across the 9 of their papers we have counts for
9 papers
Statistical applications of Random matrix theory: comparison of two populations II
Rémy Mariétan, Stephan Morgenthaler
This paper investigates a statistical procedure for testing the equality of two independent estimated covariance matrices when the number of potentially dependent data vectors is l…
Gaia Data Release 2. Short-timescale variability processing and analysis
M. Roelens, L. Eyer, N. Mowlavi +13
The Gaia DR2 sample of short-timescale variable candidates results from the investigation of the first 22 months of Gaia photometry for a subsample of sources at the Gaia faint end…
Gaia Data Release 2: Summary of the variability processing & analysis results
B. Holl, M. Audard, K. Nienartowicz +60
The Gaia Data Release 2 (DR2): we summarise the processing and results of the identification of variable source candidates of RR Lyrae stars, Cepheids, long period variables (LPVs)…
Gaia Data Release 1: The variability processing & analysis and its application to the south ecliptic pole region
L. Eyer, N. Mowlavi, D. W. Evans +70
The ESA Gaia mission provides a unique time-domain survey for more than one billion sources brighter than G=20.7 mag. Gaia offers the unprecedented opportunity to study variability…
Identifying Graphical Models
Maya Shevlyakova, Stephan Morgenthaler
The ability to identify reliably a positive or negative partial correlation between the expression levels of two genes is influenced by the number of genes, the number of a…
Two step multiple comparisons procedures for positively dependent data with application to detecting differences in human brain network topologies
Djalel Eddine Meskaldji, Patric Hagmann, Jean-Philippe Thiran +1
We consider the problem of testing positively dependent multiple hypotheses assuming that a prior information about the dependence structure is available. We propose two-step multi…
Optimality in multiple comparison procedures
Djalel Eddine Meskaldji, Jean-Philippe Thiran, Stephan Morgenthaler
When many (m) null hypotheses are tested with a single dataset, the control of the number of false rejections is often the principal consideration. Two popular controlling rates ar…
A comprehensive error rate for multiple testing
Djalel Eddine Meskaldji, Dimitri Van De Ville, Jean-Philippe Thiran +1
The higher criticism of a family of tests starts with the individual uncorrected p-values of each test. It then requires a procedure for deciding whether the collection of p-values…
Efficient statistical analysis of large correlated multivariate datasets: a case study on brain connectivity matrices
Djalel Eddine Meskaldji, Leila Cammoun, Patric Hagmann +3
In neuroimaging, a large number of correlated tests are routinely performed to detect active voxels in single-subject experiments or to detect regions that differ between individua…