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Arithmetic Geometry – A Conference in Honor of Hélène Esnault on the Occasion of Her 70th Birthday
15 videos

Arithmetic Geometry – A Conference in Honor of Hélène Esnault on the Occasion of Her 70th Birthday

Multidimensional symbolic dynamics and lattice models of quasicrystals / Dynamique symbolique multidimensionnelle et modèles de quasi-cristaux sur réseau
5 videos

Multidimensional symbolic dynamics and lattice models of quasicrystals / Dynamique symbolique multidimensionnelle et modèles de quasi-cristaux sur réseau

Not Only Scalar Curvature Seminar
58 videos

Not Only Scalar Curvature Seminar

Clément Delcamp : Topological Symmetry and Duality in Quantum Lattice Models
2 videos

Clément Delcamp : Topological Symmetry and Duality in Quantum Lattice Models

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Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2

Collection Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2

Organizer(s) Bogdan, Malgorzata ; Graczyk, Piotr ; Panloup, Fabien ; Proïa, Frédéric ; Roquain, Etienne
Date(s) 15/06/2020 - 19/06/2020
linked URL https://www.cirm-math.com/cirm-virtual-event-2146.html
00:00:00 / 00:00:00
9 25

Sparse multiple testing: can one estimate the null distribution ?

By Etienne Roquain

When performing multiple testing, adjusting the distribution of the null hypotheses is ubiquitous in applications. However, the effect of such an operation remains largely unknown, especially in terms of false discovery proportion (FDP) and true discovery proportion (TDP). In this talk, we explore this issue in the most classical case where the null distributions are Gaussian with an unknown rescaling parameters (mean and variance) and where the Benjamini-Hochberg (BH) procedure is applied after a datarescaling step.

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Citation data

  • DOI 10.24350/CIRM.V.19642603
  • Cite this video Roquain, Etienne (03/06/2020). Sparse multiple testing: can one estimate the null distribution ?. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19642603
  • URL https://dx.doi.org/10.24350/CIRM.V.19642603

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Bibliography

  • ROQUAIN, Etienne et VERZELEN, Nicolas. On using empirical null distribution in Benjamini-Hochberg procedure. arXiv preprint arXiv:1912.03109, 2019. - https://arxiv.org/abs/1912.03109
  • CARPENTIER, Alexandra, DELATTRE, Sylvain, ROQUAIN, Etienne, et al. Estimating minimum effect with outlier selection. arXiv preprint arXiv:1809.08330, 2018. - https://arxiv.org/abs/1809.08330

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