Some detection tests for low complexity data models and unknown background distribution

Autor: Mary, D., Bourguignon, S., Roquain, E., Sulis, S., Perrot-Dockes, M.

We consider several detection situations where, under the alternative hypothesis, the signal admits a low complexity model and, under both the null and the alternative hypotheses, the distribution of the background noise is {unknown}. We present seve

Externí odkaz: http://arxiv.org/abs/2012.03534

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Type I error rate control for testing many hypotheses: a survey with proofs

Autor: Roquain, E.

Publikováno v: Journal de la Société Française de Statistique
Journal de la Société Française de Statistique, 2011, 152 (2)
Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2011, 152 (2), pp.3-38
Journal de la Société Française de Statistique, 2011, 152 (2), pp.3-38

International audience; This paper presents a survey on some recent advances for the type I error rate control in multiple testing methodology. We consider the problem of controlling the $k$-family-wise error rate (kFWER, probability to make $k$ fals

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d23b6b82390133c888bd1ba6e6876b2d
https://hal.science/hal-00547965v3/file/Roq2011_published.pdf

Some non-asymptotic results on resampling in high dimension, I: Confidence regions

Autor: Roquain, E., Arlot, S., Blanchard, G.

Publikováno v: Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2010, 38 (1), pp.51-82

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8ea89773340851071ec36b87b67a3d56
https://hal.archives-ouvertes.fr/hal-00446194