Semi-supervised multiple testing-Reference-Cited by-同舟云学术

Semi-supervised multiple testing

Published:2022-01-01 Issue:2 Volume:16 Page:
ISSN:1935-7524
Container-title:Electronic Journal of Statistics
language:
Short-container-title:Electron. J. Statist.

Author:

Mary David¹,Roquain Etienne²

Affiliation:

1. Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange, Bd de l’Observatoire, CS 34229, 06304, Nice cedex 4, France

2. Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne Université, Université de Paris & CNRS, 4, place Jussieu, 75005 Paris, France

Publisher

Institute of Mathematical Statistics

Subject

Statistics and Probability,Statistics, Probability and Uncertainty

Reference63 articles.

1. Abraham, K., Castillo, I., and Gassiat, E. (2021). Multiple testing in nonparametric hidden markov models: An empirical bayes approach. arXiv preprint arXiv:2101.03838.

2. Arlot, S., Blanchard, G., and Roquain, E. (2010). Some nonasymptotic results on resampling in high dimension. I. Confidence regions. Ann. Statist., 38(1):51–82.

3. Azriel, D. and Schwartzman, A. (2015). The empirical distribution of a large number of correlated normal variables. Journal of the American Statistical Association, 110(511):1217–1228.

4. Bacon, R., Mary, D., Garel, T., Blaizot, J., Maseda, M., Schaye, J., Wisotzki, L., Conseil, S., Brinchmann, J., Leclercq, F., Abril-Melgarejo, V., Boogaard, L., Bouché, N. F., Contini, T., Feltre, A., Guiderdoni, B., Herenz, C., Kollatschny, W., Kusakabe, H., Matthee, J., Michel-Dansac, L., Nanayakkara, T., Richard, J., Roth, M., Schmidt, K. B., Steinmetz, M., Tresse, L., Urrutia, T., Verhamme, A., Weilbacher, P. M., Zabl, J., and Zoutendijk, S. L. (2021). The muse extremely deep field: The cosmic web in emission at high redshift. A&A, 647:A107.

5. Barber, R. F. and Candès, E. J. (2015). Controlling the false discovery rate via knockoffs. Ann. Statist., 43(5):2055–2085.

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