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Volumn 55, Issue 3, 2013, Pages 463-477

Binary classification with pFDR-pFNR losses

Author keywords

Autocorrelated data; Brain computer interfaces; Density ratio estimation; False discovery rate; Weak dependence

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; INTERFACES (COMPUTER); PROBABILITY DENSITY FUNCTION;

EID: 84876955568     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201200054     Document Type: Article
Times cited : (3)

References (43)
  • 1
    • 33746242092 scopus 로고    scopus 로고
    • Adapting to unknown sparsity by controlling the false discovery rate
    • doi:10.1214/009053606000000074
    • Abramovich, F., Benjamini, Y., Donoho, D. L. and Johnstone, I. M. (2006). Adapting to unknown sparsity by controlling the false discovery rate. Annals of Statistics 34, 584-653, doi:10.1214/009053606000000074.
    • (2006) Annals of Statistics , vol.34 , pp. 584-653
    • Abramovich, F.1    Benjamini, Y.2    Donoho, D.L.3    Johnstone, I.M.4
  • 2
    • 78650153359 scopus 로고    scopus 로고
    • Simultaneous and selective inference: current successes and future challenges
    • Benjamini, Y. (2010). Simultaneous and selective inference: current successes and future challenges. Biometrical Journal 52, 708-721.
    • (2010) Biometrical Journal , vol.52 , pp. 708-721
    • Benjamini, Y.1
  • 7
    • 75249099812 scopus 로고    scopus 로고
    • Adaptive false discovery rate control under independence and dependence
    • Blanchard, G. and Roquain, E. (2009). Adaptive false discovery rate control under independence and dependence. Journal of Machine Learning Research 10, 2837-2871.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2837-2871
    • Blanchard, G.1    Roquain, E.2
  • 8
    • 79955024787 scopus 로고    scopus 로고
    • Single-trial analysis and classification of ERP components-a tutorial
    • doi:10.1016/j.neuroimage.2010.06.048
    • Blankertz, B., Lemm, S., Treder, M. S., Haufe, S. and Müller, K. R. (2011). Single-trial analysis and classification of ERP components-a tutorial. NeuroImage 56, 814-825, doi:10.1016/j.neuroimage.2010.06.048.
    • (2011) NeuroImage , vol.56 , pp. 814-825
    • Blankertz, B.1    Lemm, S.2    Treder, M.S.3    Haufe, S.4    Müller, K.R.5
  • 11
    • 85032751688 scopus 로고    scopus 로고
    • Optimizing spatial filters for robust EEG single-trial analysis
    • doi:10.1109/MSP.2008.4408441
    • Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M. and Müller, K. R. (2008). Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Processing Magazine 25, 41-56, doi:10.1109/MSP.2008.4408441.
    • (2008) IEEE Signal Processing Magazine , vol.25 , pp. 41-56
    • Blankertz, B.1    Tomioka, R.2    Lemm, S.3    Kawanabe, M.4    Müller, K.R.5
  • 12
    • 84857648827 scopus 로고    scopus 로고
    • Asymptotic Bayes-optimality under sparsity of some multiple testing procedures
    • doi:10.1214/1010.1214/10-AOS869AOS869
    • Bogdan, M., Chakrabarti, A., Frommlet, F. and Ghosh, J. K. (2011). Asymptotic Bayes-optimality under sparsity of some multiple testing procedures. Annals of Statistics 39, 1551-1579, doi:10.1214/1010.1214/10-AOS869AOS869.
    • (2011) Annals of Statistics , vol.39 , pp. 1551-1579
    • Bogdan, M.1    Chakrabarti, A.2    Frommlet, F.3    Ghosh, J.K.4
  • 13
    • 0003691602 scopus 로고
    • (2nd edn.). Springer Series in Statistics. Springer10.1214/10-AOS869Verlag, Berlin
    • Brockwell, P. J. and Davis, R. A. (1991). Time Series: Theory and Methods (2nd edn.). Springer Series in Statistics. Springer10.1214/10-AOS869Verlag, Berlin
    • (1991) Time Series: Theory and Methods
    • Brockwell, P.J.1    Davis, R.A.2
  • 14
    • 65349145181 scopus 로고    scopus 로고
    • Robustness of multiple testing procedures against dependence
    • doi:10.1214/0710.1214/07-AOS557AOS557
    • Clarke, S. and Hall, P. (2009). Robustness of multiple testing procedures against dependence. Annals of Statistics 37, 332-358, doi:10.1214/0710.1214/07-AOS557AOS557.
    • (2009) Annals of Statistics , vol.37 , pp. 332-358
    • Clarke, S.1    Hall, P.2
  • 16
    • 77952745509 scopus 로고    scopus 로고
    • Predicting BCI performance to study BCI illiteracy
    • doi:10.1186/14712202-10-S1-P84
    • Dickhaus, T., Sannelli, C., Müller, K. R., Curio, G. and Blankertz, B. (2009). Predicting BCI performance to study BCI illiteracy. BMC Neuroscience 10 (Suppl 1), P84, doi:10.1186/14712202-10-S1-P84.
    • (2009) BMC Neuroscience , vol.10 , Issue.SUPPL. 1
    • Dickhaus, T.1    Sannelli, C.2    Müller, K.R.3    Curio, G.4    Blankertz, B.5
  • 18
    • 54449086895 scopus 로고    scopus 로고
    • Higher criticism thresholding: optimal feature selection when useful features are rare and weak
    • Donoho, D. and Jin, J. (2008). Higher criticism thresholding: optimal feature selection when useful features are rare and weak. Proceedings of the National Academy of Sciences USA 105, 14790-14795.
    • (2008) Proceedings of the National Academy of Sciences USA , vol.105 , pp. 14790-14795
    • Donoho, D.1    Jin, J.2
  • 20
    • 0038364283 scopus 로고    scopus 로고
    • Robbins, empirical Bayes and microarrays
    • doi:10.1214/aos/1051027871
    • Efron, B. (2003). Robbins, empirical Bayes and microarrays. Annals of Statistics 31, 366-378, doi:10.1214/aos/1051027871.
    • (2003) Annals of Statistics , vol.31 , pp. 366-378
    • Efron, B.1
  • 21
    • 47749152434 scopus 로고    scopus 로고
    • Microarrays, empirical bayes and the two-groups model
    • Efron, B. (2008). Microarrays, empirical bayes and the two-groups model. Statistical Science 23, 1-22.
    • (2008) Statistical Science , vol.23 , pp. 1-22
    • Efron, B.1
  • 22
    • 34547326633 scopus 로고    scopus 로고
    • Some results on the control of the false discovery rate under dependence
    • doi:10.1111/j.1467-9469.2006.00530.x
    • Farcomeni, A. (2007). Some results on the control of the false discovery rate under dependence. Scandinavian Journal of Statistics 34, 275-297, doi:10.1111/j.1467-9469.2006.00530.x.
    • (2007) Scandinavian Journal of Statistics , vol.34 , pp. 275-297
    • Farcomeni, A.1
  • 23
    • 65349123087 scopus 로고    scopus 로고
    • On the false discovery rate and an asymptotically optimal rejection curve
    • doi:10.1214/07-AOS569
    • Finner, H., Dickhaus, T. and Roters, M. (2009). On the false discovery rate and an asymptotically optimal rejection curve. Annals of Statistics 37, 596-618, doi:10.1214/07-AOS569.
    • (2009) Annals of Statistics , vol.37 , pp. 596-618
    • Finner, H.1    Dickhaus, T.2    Roters, M.3
  • 24
    • 74549207384 scopus 로고    scopus 로고
    • The cross10.1214/07-AOS569validated adaptive signature design
    • Freidlin, B., Jiang, W. and Simon, R. (2010). The cross10.1214/07-AOS569validated adaptive signature design. Clinical Cancer Research 16, 691-698.
    • (2010) Clinical Cancer Research , vol.16 , pp. 691-698
    • Freidlin, B.1    Jiang, W.2    Simon, R.3
  • 25
    • 10844286757 scopus 로고    scopus 로고
    • A stochastic process approach to false discovery control
    • doi:10.1214/009053604000000283
    • Genovese, C. and Wasserman, L. (2004). A stochastic process approach to false discovery control. Annals of Statistics 32, 1035-1061, doi:10.1214/009053604000000283.
    • (2004) Annals of Statistics , vol.32 , pp. 1035-1061
    • Genovese, C.1    Wasserman, L.2
  • 29
    • 0028516150 scopus 로고
    • Nonparametric multivariate density estimation: a comparative study
    • Hwang, J. N., Lay, S. R. and Lippman, A. (1994). Nonparametric multivariate density estimation: a comparative study. IEEE Transactions on Signal Processing 42, 2795-2810.
    • (1994) IEEE Transactions on Signal Processing , vol.42 , pp. 2795-2810
    • Hwang, J.N.1    Lay, S.R.2    Lippman, A.3
  • 30
    • 80051894060 scopus 로고    scopus 로고
    • Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations
    • Lipkovich, I., Dmitrienko, A., Denne, J. and Enas, G. (2011) Subgroup identification based on differential effect search-a recursive partitioning method for establishing response to treatment in patient subpopulations. Statistics in Medicine 30, 2601-2621.
    • (2011) Statistics in Medicine , vol.30 , pp. 2601-2621
    • Lipkovich, I.1    Dmitrienko, A.2    Denne, J.3    Enas, G.4
  • 31
    • 41349110333 scopus 로고    scopus 로고
    • FDR and Bayesian multiple comparisons rules
    • J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (eds.): Bayesian Statistics 8. Oxford University Press, Oxford
    • Müller, P., Parmigiani, G. and Rice, K. (2007). FDR and Bayesian multiple comparisons rules. In: J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (eds.): Bayesian Statistics 8. Proceedings of ISBA 8th World Meeting on Bayesian Statistics. Oxford University Press, Oxford, pp. 349-370.
    • (2007) Proceedings of ISBA 8th World Meeting on Bayesian Statistics , pp. 349-370
    • Müller, P.1    Parmigiani, G.2    Rice, K.3
  • 32
    • 10844254626 scopus 로고    scopus 로고
    • Optimal sample size for multiple testing: the case of gene expression microarrays
    • doi:10.1198/016214504000001646
    • Müller, P., Parmigiani, G., Robert, C. and Rousseau, J. (2004). Optimal sample size for multiple testing: the case of gene expression microarrays. Journal of the American Statistical Association 99, 990-1001, doi:10.1198/016214504000001646.
    • (2004) Journal of the American Statistical Association , vol.99 , pp. 990-1001
    • Müller, P.1    Parmigiani, G.2    Robert, C.3    Rousseau, J.4
  • 33
    • 84857024242 scopus 로고    scopus 로고
    • Online detection of error10.1214/07-AOS569related potentials boosts the performance of mental typewriters
    • doi:10.1186/1471-2202-13-19
    • Schmidt, N. M., Blankertz, B. and Treder, M. S. (2012). Online detection of error10.1214/07-AOS569related potentials boosts the performance of mental typewriters. BMC Neuroscience 13, 19, doi:10.1186/1471-2202-13-19.
    • (2012) BMC Neuroscience , vol.13 , pp. 19
    • Schmidt, N.M.1    Blankertz, B.2    Treder, M.S.3
  • 34
    • 84876995468 scopus 로고    scopus 로고
    • The false discovery rate for statistical pattern recognition
    • Scott, C., Bellala, G. and Willett, R. (2009). The false discovery rate for statistical pattern recognition. Electronic Journal of Statistics 3, 651-677.
    • (2009) Electronic Journal of Statistics , vol.3 , pp. 651-677
    • Scott, C.1    Bellala, G.2    Willett, R.3
  • 35
    • 0003443397 scopus 로고
    • Monographs on Statistics and Applied Probability. Chapman and Hall, London, New York.
    • Silverman, B. (1986). Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability. Chapman and Hall, London, New York.
    • (1986) Density Estimation for Statistics and Data Analysis
    • Silverman, B.1
  • 36
    • 0345822598 scopus 로고    scopus 로고
    • The positive false discovery rate: a Bayesian interpretation and the q-value
    • doi:10.1214/aos/1074290335.
    • Storey, J. D. (2003). The positive false discovery rate: a Bayesian interpretation and the q-value. Annals of Statistics 31, 2013-2035, doi:10.1214/aos/1074290335.
    • (2003) Annals of Statistics , vol.31 , pp. 2013-2035
    • Storey, J.D.1
  • 37
    • 1142273091 scopus 로고    scopus 로고
    • Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
    • doi:10.1111/j.1467-9868.2004.00439.x
    • Storey, J. D., Taylor, J. E. and Siegmund, D. (2004). Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach. Journal of The Royal Statistical Society Series B (Statistical Methodology) 66, 187-205, doi:10.1111/j.1467-9868.2004.00439.x.
    • (2004) Journal of The Royal Statistical Society Series B (Statistical Methodology) , vol.66 , pp. 187-205
    • Storey, J.D.1    Taylor, J.E.2    Siegmund, D.3
  • 39
    • 83355169785 scopus 로고    scopus 로고
    • A self-paced motor imagery based brain-computer interface for robotic wheelchair control
    • Tsui, C. S., Gan, J. Q. and Hu, H. (2011). A self-paced motor imagery based brain-computer interface for robotic wheelchair control. Clinical EEG and Neuroscience 42, 225-229.
    • (2011) Clinical EEG and Neuroscience , vol.42 , pp. 225-229
    • Tsui, C.S.1    Gan, J.Q.2    Hu, H.3


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