P. J. Bickel and E. Levina, Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations, Bernoulli, vol.10, issue.6, pp.989-1010, 2004.
DOI : 10.3150/bj/1106314847

Y. Blum, G. Lemignon, S. Lagarrigue, and D. Causeur, A factor model to analyze heterogeneity in gene expression, BMC Bioinformatics, vol.11, issue.1, p.368, 2010.
DOI : 10.1186/1471-2105-11-368

URL : https://hal.archives-ouvertes.fr/hal-00729426

C. Bugli and P. Lambert, Functional ANOVA with random functional effects: an application to event-related potentials modelling for electroencephalograms analysis, Statistics in Medicine, vol.18, issue.21, pp.3718-3739, 2006.
DOI : 10.1002/sim.2464

T. T. Cai, J. Jeng, and J. Jin, Optimal detection of heterogeneous and heteroscedastic mixtures, Journal of the Royal Statistical Society, Series B, vol.73, 2011.

D. Causeur, M. Chu, S. Hsieh, and C. Sheu, A factor-adjusted multiple testing procedure for ERP data analysis, Behavior Research Methods, vol.41, issue.3, pp.635-643, 2012.
DOI : 10.3758/s13428-012-0230-0

URL : https://hal.archives-ouvertes.fr/hal-00841113

D. Causeur and C. Sheu, ERP: Significance analysis of Event-Related Potentials data, 2014.

D. Donoho and J. Jin, Higher criticism for detecting sparse heterogeneous mixtures. The Annals of Statistics, pp.962-994, 2004.

D. Donoho and J. Jin, Higher criticism thresholding: Optimal feature selection when useful features are rare and weak, Proceedings of the National Academy of Sciences, vol.105, issue.39, pp.14790-14795, 2008.
DOI : 10.1073/pnas.0807471105

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553037

D. Donoho and J. Jin, Feature selection by higher criticism thresholding achieves the optimal phase diagram, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.99, issue.10, pp.4449-4470, 2009.
DOI : 10.1073/pnas.082099299

C. Friguet, M. Kloareg, and D. Causeur, A Factor Model Approach to Multiple Testing Under Dependence, Journal of the American Statistical Association, vol.104, issue.488, pp.1406-1415, 2009.
DOI : 10.1198/jasa.2009.tm08332

URL : https://hal.archives-ouvertes.fr/hal-00458049

D. Guthrie and J. Buchwald, Significance Testing of Difference Potentials, Psychophysiology, vol.22, issue.2, pp.240-244, 1991.
DOI : 10.1002/ana.410050402

P. Hall and J. Jin, Properties of higher criticism under strong dependence. The Annals of Statistics, pp.381-402, 2008.

P. Hall and J. Jin, Innovated higher criticism for detecting sparse signals in correlated noise. The Annals of Statistics, pp.1686-1732, 2010.

Y. I. Ingster, Some problems of hypothesis testing leading to infinitely divisible distribution, Mathematical Methods of Statistics, vol.6, pp.47-69, 1997.

Y. I. Ingster, Minimax detection of a signal for p n balls, Mathematical Methods of Statistics, vol.7, pp.401-428, 1999.

B. Klaus and K. Strimmer, Signal identification for rare and weak features: higher criticism or false discovery rates?, Biostatistics, vol.14, issue.1, pp.129-143, 2013.
DOI : 10.1093/biostatistics/kxs030

J. T. Leek and J. Storey, Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis, PLoS Genetics, vol.3, issue.9, p.161, 2007.
DOI : 10.1371/journal.pgen.0030161.sg011

J. T. Leek and J. Storey, A general framework for multiple testing dependence, Proceedings of the National Academy of Sciences, pp.18718-18723, 2008.
DOI : 10.1073/pnas.0808709105

E. Perthame, C. Friguet, and D. Causeur, Stability of feature selection in classification issues for high-dimensional correlated data, Statistics and Computing, vol.25, issue.156, pp.1-14, 2015.
DOI : 10.1007/s11222-015-9569-2

URL : https://hal.archives-ouvertes.fr/hal-01256508

T. W. Picton, The P300 Wave of the Human Event-Related Potential, Journal of Clinical Neurophysiology, vol.9, issue.4, pp.456-479, 1992.
DOI : 10.1097/00004691-199210000-00002

J. Schäfer and K. Strimmer, A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics, Statistical Applications in Genetics and Molecular Biology, vol.4, issue.1, 2005.
DOI : 10.2202/1544-6115.1175

C. F. Sheu, E. Perthame, D. Causeur, and Y. S. Lee, Accounting for time dependence in largescale multiple testing of event-related potential data, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01338701

N. Smith and M. Kutas, Regression-based estimation of ERP waveforms: I. The rERP framework, Psychophysiology, vol.30, issue.2, pp.157-168, 2015.
DOI : 10.1111/psyp.12317

N. Smith and M. Kutas, Regression-based estimation of ERP waveforms: II. Nonlinear effects, overlap correction, and practical considerations, Psychophysiology, vol.30, issue.2, pp.169-181, 2015.
DOI : 10.1111/psyp.12320

Y. Sun, N. R. Zhang, and A. B. Owen, Multiple hypothesis testing adjusted for latent variables, with an application to the AGEMAP gene expression data, The Annals of Applied Statistics, vol.6, issue.4, pp.1664-1688, 2012.
DOI : 10.1214/12-AOAS561

L. M. Williams, E. Simms, C. R. Clark, and R. H. Paul, THE TEST-RETEST RELIABILITY OF A STANDARDIZED NEUROCOGNITIVE AND NEUROPHYSIOLOGICAL TEST BATTERY: ???NEUROMARKER???, International Journal of Neuroscience, vol.105, issue.11, pp.1605-1630, 2005.
DOI : 10.1300/J184v02n04_02

V. Zuber and K. Strimmer, Gene ranking and biomarker discovery under correlation, Bioinformatics, vol.25, issue.20, pp.2700-2707, 2009.
DOI : 10.1093/bioinformatics/btp460