Fetching the paper…
Reading the bibliography…
The e-BH procedure is an e-value-based multiple testing procedure that provably controls the false discovery rate (FDR) under any dependence structure between the e-values.
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · 1974
Earlier work this paper cites.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
Earlier work this paper cites.
Novelty detection for the identification of masses in mammograms
Tarassenko, L., Hayton, P., Cerneaz, N., and Brady, M. (1995) · 1995
Earlier work this paper cites.
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y. and Yekutieli, D. (2001) · 2001
Earlier work this paper cites.
A direct approach to false discovery rates
Storey, J. D. (2002) · 2002
Earlier work this paper cites.
A stochastic process approach to false discovery control
Genovese, C. and Wasserman, L. (2004) · 2004
Earlier work this paper cites.
Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
Storey, J. D., Taylor, J. E., and Siegmund, D. (2004) · 2004
Earlier work this paper cites.
Algorithmic learning in a random world
Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
Earlier work this paper cites.
On the benjamini–hochberg method
Ferreira, J. and Zwinderman, A. (2006) · 2006
Earlier work this paper cites.
Some results on the control of the false discovery rate under dependence
Farcomeni, A. (2007) · 2007
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E. (2011) · 2011
Earlier work this paper cites.
Test Martingales, Bayes Factors and p-Values
Shafer, G., Shen, A., Vereshchagin, N., and Vovk, V. (2011) · 2011
Earlier work this paper cites.
Causal inference in statistics, social, and biomedical sciences
Imbens, G. W. and Rubin, D. B. (2015) · 2015
Earlier work this paper cites.
A survey of anomaly detection techniques in financial domain
Ahmed, M., Mahmood, A. N., and Islam, M. R. (2016) · 2016
Earlier work this paper cites.
A power and prediction analysis for knockoffs with lasso statistics
Weinstein, A., Barber, R., and Candes, E. (2017) · 2017
Earlier work this paper cites.
Panning for gold:‘model-x’knockoffs for high dimensional controlled variable selection
Candès, E., Fan, Y., Janson, L., and Lv, J. (2018) · 2018
Earlier work this paper cites.
Assessing treatment effect variation in observational studies: Results from a data challenge
Carvalho, C., Feller, A., Murray, J., Woody, S., and Yeager, D. (2019) · 2019
Earlier work this paper cites.
Conformal prediction under covariate shift
Tibshirani, R. J., Foygel Barber, R., Candes, E., and Ramdas, A. (2019) · 2019
Earlier work this paper cites.
Time-uniform chernoff bounds via nonnegative supermartingales
Howard, S. R., Ramdas, A., McAuliffe, J., and Sekhon, J. (2020) · 2020
Earlier work this paper cites.
Universal inference
Wasserman, L., Ramdas, A., and Balakrishnan, S. (2020) · 2020
Cited alongside, same era.
Novelty detection-based approach for alzheimer’s disease and mild cognitive impairment diagnosis from eeg
Cejnek, M., Vysata, O., Valis, M., and Bukovsky, I. (2021) · 2021
Cited alongside, same era.
Time-uniform, nonparametric, nonasymptotic confidence sequences
Howard, S. R., Ramdas, A., McAuliffe, J., and Sekhon, J. (2021) · 2021
Cited alongside, same era.
Testing by betting: A strategy for statistical and scientific communication
Shafer, G. (2021) · 2021
Cited alongside, same era.
E-values: Calibration, combination and applications
Vovk, V. and Wang, R. (2021) · 2021
Cited alongside, same era.
Time-uniform central limit theory and asymptotic confidence sequences
Simultaneous hypothesis testing using internal negative controls with an application to proteomics
Gao, Z. and Zhao, Q. (2023) · 2023
Later among the works it cites.
The e-posterior
Grünwald, P. D. (2023) · 2023
Later among the works it cites.
A two-sample conditional distribution test using conformal prediction and weighted rank sum
Hu, X. and Lei, J. (2023) · 2023
Later among the works it cites.
E-values as unnormalized weights in multiple testing
Ignatiadis, N., Wang, R., and Ramdas, A. (2023) · 2023
Later among the works it cites.
Model-free selective inference under covariate shift via weighted conformal p-values
Jin, Y. and Candès, E. J. (2023) · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Waudby-Smith, I., Arbour, D., Sinha, R., Kennedy, E. H., and Ramdas, A. (2021) · 2021
Cited alongside, same era.
Multiple testing under negative dependence
Chi, Z., Ramdas, A., and Wang, R. (2022) · 2022
Cited alongside, same era.
Conditional calibration for false discovery rate control under dependence
Fithian, W. and Lei, L. (2022) · 2022
Cited alongside, same era.
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
Liang, Z., Sesia, M., and Sun, W. (2022) · 2022
Cited alongside, same era.
Improving knockoffs with conditional calibration
Luo, Y., Fithian, W., and Lei, L. (2022) · 2022
Cited alongside, same era.
Semi-supervised multiple testing
Mary, D. and Roquain, E. (2022) · 2022
Cited alongside, same era.
In situ cell-type-specific cell-surface proteomic profiling in mice
Shuster, S. A., Li, J., Chon, U., Sinantha-Hu, M. C., Luginbuhl, D. J., Udeshi, N. D., Carey, D. K., Takeo, Y. H., Xie, Q., Xu, C., et al. (2022) · 2022
Cited alongside, same era.
Li, G. and Zhang, X. (2023) · 2023
Later among the works it cites.
Game-theoretic statistics and safe anytime-valid inference
Ramdas, A., Grünwald, P., Vovk, V., and Shafer, G. (2023) · 2023
Later among the works it cites.
Randomized and exchangeable improvements of markov’s, chebyshev’s and chernoff’s inequalities
Ramdas, A. and Manole, T. (2023) · 2023
Later among the works it cites.
Sarkar, S. K. (2023) · 2023
Later among the works it cites.
Confidence and discoveries with e-values
Vovk, V. and Wang, R. (2023) · 2023
Later among the works it cites.
On the existence of powerful p-values and e-values for composite hypotheses
Zhang, Z., Ramdas, A., and Wang, R. (2023) · 2023
Later among the works it cites.
Derandomized novelty detection with fdr control via conformal e-values
Bashari, M., Epstein, A., Romano, Y., and Sesia, M. (2024) · 2024
Closest in time.
Safe testing
Grünwald, P., de Heide, R., and Koolen, W. M. (2024) · 2024
Closest in time.
Larsson, M., Ramdas, A., and Ruf, J. (2024) · 2024
Closest in time.
Derandomised knockoffs: leveraging e-values for false discovery rate control
Ren, Z. and Barber, R. F. (2024) · 2024
Closest in time.
Nonparametric e-tests of symmetry
Vladimir, V. and Wang, R. (2024) · 2024
Closest in time.
Estimating means of bounded random variables by betting
Waudby-Smith, I. and Ramdas, A. (2024) · 2024
Closest in time.
Controlling the false discovery rate via knockoffs
Barber, R. F. and Candès, E. J. (2015) · 2085
Closest in time.