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This paper explores the multiple testing problem for sparse high-dimensional data with binary outcomes.
An approximation of partial sums of independent RV’-s, and the sample DF. I
Komlós, J., P. Major, and G. Tusnády (1975) · 1975
Earlier work this paper cites.
An approximation of partial sums of independent RV’-s, and the sample DF. I
Komlós, J., P. Major, and G. Tusnády (1975) · 1975
Earlier work this paper cites.
Distribution inequalities for the Binomial law
Slud, E. V. (1977) · 1977
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Distribution inequalities for the Binomial law
Slud, E. V. (1977) · 1977
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On Littlewood’s estimate for the Binomial distribution
McKay, B. D. (1989) · 1989
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On Littlewood’s estimate for the Binomial distribution
McKay, B. D. (1989) · 1989
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Closed form summation for classical distributions: variations on a theme of de Moivre
Diaconis, P. and S. Zabell (1991) · 1991
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Closed form summation for classical distributions: variations on a theme of de Moivre
Diaconis, P. and S. Zabell (1991) · 1991
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Tusnády’s inequality revisited
Carter, A. and D. Pollard (2004) · 2004
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Large-scale simultaneous hypothesis testing: The choice of a null hypothesis
Efron, B. (2004) · 2004
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Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
Johnstone, I. and B. Silverman (2004) · 2004
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Tusnády’s inequality revisited
Carter, A. and D. Pollard (2004) · 2004
Earlier work this paper cites.
Large-scale simultaneous hypothesis testing: The choice of a null hypothesis
Efron, B. (2004) · 2004
Earlier work this paper cites.
Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
Johnstone, I. and B. Silverman (2004) · 2004
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Asymptotic efficiency of simple decisions for the compound decision problem
Greenshtein, E. and Y. Ritov (2009) · 2009
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Asymptotic efficiency of simple decisions for the compound decision problem
Greenshtein, E. and Y. Ritov (2009) · 2009
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Large-scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
Efron, B. (2010) · 2010
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Large-scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction
Efron, B. (2010) · 2010
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Space Warps – I. Crowdsourcing the discovery of gravitational lenses
Marshall, P. J., A. Verma, A. More, C. P. Davis, S. More, A. Kapadia, M. Parrish, C. Snyder, J. Wilcox, E. Baeten, C. Macmillan, C. Cornen, M. Baumer, E. Simpson, C. J. Lintott, D. Miller, E. Paget, R. Simpson, A. M. Smith, R. Küng, P. Saha, and T. E. Collett (2015) · 2015
Earlier work this paper cites.
Hypothesis testing for high-dimensional sparse binary regression
Mukherjee, R., N. S. Pillai, and X. Lin (2015) · 2015
Earlier work this paper cites.
Space Warps – I. Crowdsourcing the discovery of gravitational lenses
Marshall, P. J., A. Verma, A. More, C. P. Davis, S. More, A. Kapadia, M. Parrish, C. Snyder, J. Wilcox, E. Baeten, C. Macmillan, C. Cornen, M. Baumer, E. Simpson, C. J. Lintott, D. Miller, E. Paget, R. Simpson, A. M. Smith, R. Küng, P. Saha, and T. E. Collett (2015) · 2015
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Hypothesis testing for high-dimensional sparse binary regression
Mukherjee, R., N. S. Pillai, and X. Lin (2015) · 2015
Cited alongside, same era.
Exact exponent in optimal rates for crowdsourcing
Gao, C., Y. Lu, and D. Zhou (2016) · 2016
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Exact exponent in optimal rates for crowdsourcing
Gao, C., Y. Lu, and D. Zhou (2016) · 2016
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Empirical Bayes posterior concentration in sparse high-dimensional linear models
Martin, R., R. Mess, and S. G. Walker (2017) · 2017
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Uncertainty quantification for the horseshoe (with discussion)
On spike and slab empirical Bayes multiple testing
Castillo, I. and E. Roquain (2020) · 2020
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Spike and slab empirical Bayes sparse credible sets
Castillo, I. and B. Szabó (2020) · 2020
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Bayesian linear regression for multivariate responses under group sparsity
Ning, B., S. Joeng, and S. Ghosal (2020) · 2020
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Spike-and-slab group lassos for grouped regression and sparse generalized additive models
Bai, R., G. E. Moran, J. L. Antonelli, Y. Chen, and M. R. Boland (2022) · 2022
Later among the works it cites.
Variational Bayes for high-dimensional linear regression with sparse priors
Ray, K. and B. Szabó (2022) · 2022
Later among the works it cites.
False discovery rate control with e-values
Wang, R. and A. Ramdas (2022, 01) · 2022
Later among the works it cites.
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van der Pas, S., B. Szabó, and A. van der Vaart (2017) · 2017
Cited alongside, same era.
Empirical Bayes posterior concentration in sparse high-dimensional linear models
Martin, R., R. Mess, and S. G. Walker (2017) · 2017
Cited alongside, same era.
Uncertainty quantification for the horseshoe (with discussion)
van der Pas, S., B. Szabó, and A. van der Vaart (2017) · 2017
Cited alongside, same era.
Variable selection with Hamming loss
Butucea, C., M. Ndaoud, N. A. Stepanova, and A. B. Tsybakov (2018) · 2018
Cited alongside, same era.
Bayesian linear regression with sparse priors
Castillo, I., J. Schmidt-Hieber, and A. van der Vaart (2015) · 2018
Cited alongside, same era.
Bayesian estimation of sparse signals with a continuous spike-and-slab prior
Ročková, V. (2018) · 2018
Cited alongside, same era.
Variable selection with Hamming loss
Butucea, C., M. Ndaoud, N. A. Stepanova, and A. B. Tsybakov (2018) · 2018
Cited alongside, same era.
Spike-and-slab group lassos for grouped regression and sparse generalized additive models
Bai, R., G. E. Moran, J. L. Antonelli, Y. Chen, and M. R. Boland (2022) · 2022
Later among the works it cites.
Variational Bayes for high-dimensional linear regression with sparse priors
Ray, K. and B. Szabó (2022) · 2022
Later among the works it cites.
False discovery rate control with e-values
Wang, R. and A. Ramdas (2022, 01) · 2022
Later among the works it cites.
Sharp multiple testing boundary for sparse sequences
Abraham, K., I. Castillo, and E. Roquain (2024) · 2024
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Supplement to “empirical Bayes large-scale multiple testing for high-dimensional sparse binary outcome data”
Ning, Y.-C. B. (2024) · 2024
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Sharp multiple testing boundary for sparse sequences
Abraham, K., I. Castillo, and E. Roquain (2024) · 2024
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Supplement to “empirical Bayes large-scale multiple testing for high-dimensional sparse binary outcome data”
Ning, Y.-C. B. (2024) · 2024
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The positive false discovery rate: a Bayesian interpretation and the q q -value
Storey, J. D. (2003) · 2035
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The positive false discovery rate: a Bayesian interpretation and the q q -value
Storey, J. D. (2003) · 2035
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Needles and straw in a haystack: Posterior concentration for possibly sparse sequences
Castillo, I. and A. van der Vaart (2012) · 2069
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Needles and straw in a haystack: Posterior concentration for possibly sparse sequences
Castillo, I. and A. van der Vaart (2012) · 2069
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Global testing against sparse alternatives under ising models
Mukherjee, R., S. Mukherjee, and M. Yuan (2018) · 2093
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Global testing against sparse alternatives under ising models
Mukherjee, R., S. Mukherjee, and M. Yuan (2018) · 2093
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