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A direct approach to false discovery rates

Citations

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Cited by:

  1. Yu-Min Yen, 2013. "Testing Jumps via False Discovery Rate Control," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
  2. Iris Ivy M. Gauran & Junyong Park & Johan Lim & DoHwan Park & John Zylstra & Thomas Peterson & Maricel Kann & John L. Spouge, 2018. "Empirical null estimation using zero†inflated discrete mixture distributions and its application to protein domain data," Biometrics, The International Biometric Society, vol. 74(2), pages 458-471, June.
  3. David Ruppert & Dan Nettleton & J. T. Gene Hwang, 2007. "Exploring the Information in p-Values for the Analysis and Planning of Multiple-Test Experiments," Biometrics, The International Biometric Society, vol. 63(2), pages 483-495, June.
  4. Yuan Zhao, 2014. "Cross-sector fund performance comparison: the role of real estate mutual funds," ERES eres2014_213, European Real Estate Society (ERES).
  5. Robert A. Connolly & Richard J. Rendleman, 2012. "What It Takes to Win on the PGA TOUR (If Your Name Is “Tiger” or If It Isn't)," Interfaces, INFORMS, vol. 42(6), pages 554-576, December.
  6. Gianna Serafina Monti & Peter Filzmoser, 2024. "A robust knockoff filter for sparse regression analysis of microbiome compositional data," Computational Statistics, Springer, vol. 39(1), pages 271-288, February.
  7. Jinkyu Kim & Gunn Kim & Sungbae An & Young-Kyun Kwon & Sungroh Yoon, 2013. "Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-10, January.
  8. Vicente Reyes-Puerta & Suam Kim & Jyh-Jang Sun & Barbara Imbrosci & Werner Kilb & Heiko J Luhmann, 2015. "High Stimulus-Related Information in Barrel Cortex Inhibitory Interneurons," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-32, June.
  9. E. M. Conlon & B. L. Postier & B. A. Methe & K. P. Nevin & D. R. Lovley, 2009. "Hierarchical Bayesian meta-analysis models for cross-platform microarray studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(10), pages 1067-1085.
  10. Sean Jewell & Paul Fearnhead & Daniela Witten, 2022. "Testing for a change in mean after changepoint detection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1082-1104, September.
  11. Ming Yuan & Christina Kendziorski, 2006. "A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification," Biometrics, The International Biometric Society, vol. 62(4), pages 1089-1098, December.
  12. Youngchao Ge & Sandrine Dudoit & Terence Speed, 2003. "Resampling-based multiple testing for microarray data analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 1-77, June.
  13. Ron Berman & Christophe Van den Bulte, 2022. "False Discovery in A/B Testing," Management Science, INFORMS, vol. 68(9), pages 6762-6782, September.
  14. repec:plo:pbio00:2001903 is not listed on IDEAS
  15. Barras, Laurent, 2019. "A large-scale approach for evaluating asset pricing models," Journal of Financial Economics, Elsevier, vol. 134(3), pages 549-569.
  16. Dennis Leung & Wenguang Sun, 2022. "ZAP: Z$$ Z $$‐value adaptive procedures for false discovery rate control with side information," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(5), pages 1886-1946, November.
  17. Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
  18. Georgios Sermpinis & Andreas Karathanasopoulos & Rafael Rosillo & David Fuente, 2021. "Neural networks in financial trading," Annals of Operations Research, Springer, vol. 297(1), pages 293-308, February.
  19. Yin-Cong Zhi & Victor Anguajibi & John B. Oryema & Betty Nabatte & Christopher K. Opio & Narcis B. Kabatereine & Goylette F. Chami, 2026. "Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis," Nature Communications, Nature, vol. 17(1), pages 1-17, December.
  20. Xinge Jessie Jeng & Zhongyin John Daye & Wenbin Lu & Jung-Ying Tzeng, 2016. "Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-23, June.
  21. Kamil, Nazrol K.M. & Alhabshi, Syed O. & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "Heads we win, tails you lose: Is there equity in Islamic equity funds?," Pacific-Basin Finance Journal, Elsevier, vol. 28(C), pages 7-28.
  22. Zehetmayer Sonja & Graf Alexandra C. & Posch Martin, 2015. "Sample size reassessment for a two-stage design controlling the false discovery rate," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(5), pages 429-442, November.
  23. repec:plo:pone00:0034121 is not listed on IDEAS
  24. Hassanniakalager, Arman & Baker, Paul L. & Platanakis, Emmanouil, 2024. "A False Discovery Rate approach to optimal volatility forecasting model selection," International Journal of Forecasting, Elsevier, vol. 40(3), pages 881-902.
  25. Samir Rachid Zaim & Mark-Phillip Pebworth & Imran McGrath & Lauren Okada & Morgan Weiss & Julian Reading & Julie L. Czartoski & Troy R. Torgerson & M. Juliana McElrath & Thomas F. Bumol & Peter J. Ske, 2024. "MOCHA’s advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human cohorts," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
  26. Debashis Ghosh & Wei Chen & Trivellore Raghuanthan, 2004. "The false discovery rate: a variable selection perspective," The University of Michigan Department of Biostatistics Working Paper Series 1040, Berkeley Electronic Press.
  27. Mark Rempel, 2016. "Improving Overnight Loan Identification in Payments Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 549-564, March.
  28. Jiaying Gu & Roger Koenker, 2023. "Invidious Comparisons: Ranking and Selection as Compound Decisions," Econometrica, Econometric Society, vol. 91(1), pages 1-41, January.
  29. John A. Dawson & Christina Kendziorski, 2012. "An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments," Biometrics, The International Biometric Society, vol. 68(2), pages 455-465, June.
  30. Brian E Roe & Michael R Tilley & Howard H Gu & David Q Beversdorf & Wolfgang Sadee & Timothy C Haab & Audrey C Papp, 2009. "Financial and Psychological Risk Attitudes Associated with Two Single Nucleotide Polymorphisms in the Nicotine Receptor ( CHRNA4 ) Gene," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
  31. Simina M. Boca & Héctor Céorrada Bravo & Brian Caffo & Jeffrey T. Leek & Giovanni Parmigiani, 2013. "A Decision-Theory Approach to Interpretable Set Analysis for High-Dimensional Data," Biometrics, The International Biometric Society, vol. 69(3), pages 614-623, September.
  32. Christopher R. Walters, 2024. "Empirical Bayes Methods in Labor Economics," NBER Working Papers 33091, National Bureau of Economic Research, Inc.
  33. Francesco Bettella & Andrew A Brown & Olav B Smeland & Yunpeng Wang & Aree Witoelar & Alfonso A Buil Demur & Wesley K Thompson & Verena Zuber & Anders M Dale & Srdjan Djurovic & Ole A Andreassen, 2018. "Cross-tissue eQTL enrichment of associations in schizophrenia," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-17, September.
  34. repec:bla:biomet:v:62:y:2006:i:1:p:10-18:1 is not listed on IDEAS
  35. Andrew Y. Chen, 2022. "Do t-Statistic Hurdles Need to be Raised?," Papers 2204.10275, arXiv.org, revised Apr 2024.
  36. A. R. Nematollahi & A. R. Soltani & M. R. Mahmoudi, 2017. "Periodically correlated modeling by means of the periodograms asymptotic distributions," Statistical Papers, Springer, vol. 58(4), pages 1267-1278, December.
  37. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, vol. 90(6), pages 2567-2602, November.
  38. Cheng, Cheng, 2009. "Internal validation inferences of significant genomic features in genome-wide screening," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 788-800, January.
  39. Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," Journal of Economic Geography, Oxford University Press, vol. 137(4), pages 1963-2036.
  40. Peter Langfelder & Paul S Mischel & Steve Horvath, 2013. "When Is Hub Gene Selection Better than Standard Meta-Analysis?," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-16, April.
  41. Moraes, Fernando & Cavalcante-Filho, Elias & De-Losso, Rodrigo, 2021. "Unskilled fund managers: Replicating active fund performance with few ETFs," International Review of Financial Analysis, Elsevier, vol. 78(C).
  42. Nawal Abdalla Adam & Ghadah Alarifi, 2021. "Innovation practices for survival of small and medium enterprises (SMEs) in the COVID-19 times: the role of external support," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-22, December.
  43. Zhao, Haibing & Fung, Wing Kam, 2016. "A powerful FDR control procedure for multiple hypotheses," Computational Statistics & Data Analysis, Elsevier, vol. 98(C), pages 60-70.
  44. Harold Gu'eneau & Alain Celisse & Pascal Delange, 2025. "Representation learning with a transformer by contrastive learning for money laundering detection," Papers 2507.08835, arXiv.org.
  45. Patrick Kline & Evan K Rose & Christopher R Walters, 2022. "Systemic Discrimination Among Large U.S. Employers [“Teachers and Student Achievement in the Chicago Public High Schools,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
  46. Farcomeni, Alessio & Pacillo, Simona, 2011. "A conservative estimator for the proportion of false nulls based on Dvoretzky, Kiefer and Wolfowitz inequality," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1867-1870.
  47. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2017. "Inferential confidence intervals for fuzzy analysis of teaching satisfaction," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1513-1529, July.
  48. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
  49. Manik Kuchroo & Marcello DiStasio & Eric Song & Eda Calapkulu & Le Zhang & Maryam Ige & Amar H. Sheth & Abdelilah Majdoubi & Madhvi Menon & Alexander Tong & Abhinav Godavarthi & Yu Xing & Scott Gigant, 2023. "Single-cell analysis reveals inflammatory interactions driving macular degeneration," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
  50. Enrico Petretto & Leonardo Bottolo & Sarah R Langley & Matthias Heinig & Chris McDermott-Roe & Rizwan Sarwar & Michal Pravenec & Norbert Hübner & Timothy J Aitman & Stuart A Cook & Sylvia Richardson, 2010. "New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-13, April.
  51. Habiger, Joshua D. & Peña, Edsel A., 2014. "Compound p-value statistics for multiple testing procedures," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 153-166.
  52. Daniel Ochieng, 2024. "Multiple testing of interval composite null hypotheses using randomized p-values," Statistical Papers, Springer, vol. 65(8), pages 5055-5076, October.
  53. Alejandro Ochoa & John D Storey & Manuel Llinás & Mona Singh, 2015. "Beyond the E-Value: Stratified Statistics for Protein Domain Prediction," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-21, November.
  54. Adebowale J. Sijuwade & Swarnita Chakraborty & Nairanjana Dasgupta, 2024. "An inverse Laplace transform oracle estimator for the normal means problem," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 87(5), pages 533-550, July.
  55. Ishwaran, Hemant & Sunil Rao, J., 2008. "Clustering gene expression profile data by selective shrinkage," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1490-1497, September.
  56. N. Bochkina & S. Richardson, 2007. "Tail Posterior Probability for Inference in Pairwise and Multiclass Gene Expression Data," Biometrics, The International Biometric Society, vol. 63(4), pages 1117-1125, December.
  57. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2012. "False Discoveries in UK Mutual Fund Performance," European Financial Management, European Financial Management Association, vol. 18(3), pages 444-463, June.
  58. Fei Shang & Tomasz Wo'zniak, 2026. "Identification Verification for Structural Vector Autoregressions with Sparse Heterogeneous Markov Switching Heteroskedasticity," Papers 2603.16035, arXiv.org.
  59. Michael Hankin & Jay Bartroff, 2026. "Sequential FDR and pFDR Control Under Arbitrary Dependence, with Application to Pharmacovigilance Database Monitoring," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 18(1), pages 150-175, March.
  60. José Ferreira & Mark Wiel, 2008. "Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 443-445, November.
  61. Markon, Kristian E. & Mann, Frank & Freilich, Colin & Cole, Steve & Krueger, Robert F., 2024. "Associations between epigenetic age acceleration and longitudinal measures of psychosocioeconomic stress and status," Social Science & Medicine, Elsevier, vol. 352(C).
  62. Xiongzhi Chen, 2025. "Uniformly consistent proportion estimation for composite hypotheses via integral equations: “the case of Gamma random variables”," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 77(4), pages 649-684, August.
  63. Alessio Farcomeni, 2009. "Generalized Augmentation to Control the False Discovery Exceedance in Multiple Testing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 36(3), pages 501-517, September.
  64. Dimitrios Koutmos & Bochen Wu & Qi Zhang, 2020. "In search of winning mutual funds in the Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 589-616, February.
  65. Vijayalakshmi Sridharan & Kristin A Johnson & Reid D Landes & Maohua Cao & Preeti Singh & Gail Wagoner & Abdallah Hayar & Emily D Sprick & Kayla A Eveld & Anusha Bhattacharyya & Kimberly J Krager & Nu, 2021. "Sex-dependent effects of genetic upregulation of activated protein C on delayed effects of acute radiation exposure in the mouse heart, small intestine, and skin," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-23, May.
  66. Lan, Wei & Zhong, Ping-Shou & Li, Runze & Wang, Hansheng & Tsai, Chih-Ling, 2016. "Testing a single regression coefficient in high dimensional linear models," Journal of Econometrics, Elsevier, vol. 195(1), pages 154-168.
  67. T. Tony Cai & Weidong Liu, 2016. "Large-Scale Multiple Testing of Correlations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 229-240, March.
  68. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
  69. Ji Tieming & Liu Peng & Nettleton Dan, 2012. "Borrowing Information Across Genes and Experiments for Improved Error Variance Estimation in Microarray Data Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-29, May.
  70. Timothy B. Armstrong, 2014. "Adaptive Testing on a Regression Function at a Point," Cowles Foundation Discussion Papers 1957R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2015.
  71. Clare Marshall & Nicky Best & Alex Bottle & Paul Aylin, 2004. "Statistical issues in the prospective monitoring of health outcomes across multiple units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 541-559, August.
  72. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
  73. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
  74. Deprez, Niek & Frömmel, Michael, 2024. "Are simple technical trading rules profitable in bitcoin markets?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 858-874.
  75. Dong Luo & Arya Ebadi & Kristen Emery & Yilun He & William Stafford Noble & Uri Keich, 2023. "Competition‐based control of the false discovery proportion," Biometrics, The International Biometric Society, vol. 79(4), pages 3472-3484, December.
  76. Hae-Sang Park & Jeonghwa Lee & Chi-Hyuck Jun, 2014. "Clustering noise-included data by controlling decision errors," Annals of Operations Research, Springer, vol. 216(1), pages 129-144, May.
  77. I. Ahmed & C. Dalmasso & F. Haramburu & F. Thiessard & P. Broët & P. Tubert-Bitter, 2010. "False Discovery Rate Estimation for Frequentist Pharmacovigilance Signal Detection Methods," Biometrics, The International Biometric Society, vol. 66(1), pages 301-309, March.
  78. Huiping Zhang & Fan Wang & Henry R Kranzler & Hongyu Zhao & Joel Gelernter, 2013. "Profiling of Childhood Adversity-Associated DNA Methylation Changes in Alcoholic Patients and Healthy Controls," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-9, June.
  79. Rizaldy C. Zapata & Maria Carretero & Felipe Castellani Gomes Reis & Besma S. Chaudry & Jachelle Ofrecio & Dinghong Zhang & Roman Sasik & Theodore Ciaraldi & Michael Petrascheck & Olivia Osborn, 2022. "Adipocytes control food intake and weight regain via Vacuolar-type H+ ATPase," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  80. Justa L. Heinen-Kay & Kirstin E. Morris & Nicole A. Ryan & Samantha L. Byerley & Rebecca E. Venezia & M. Nils Peterson & R. Brian Langerhans, 2015. "A trade-off between natural and sexual selection underlies diversification of a sexual signal," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(2), pages 533-542.
  81. Izmirlian, Grant, 2020. "Strong consistency and asymptotic normality for quantities related to the Benjamini–Hochberg false discovery rate procedure," Statistics & Probability Letters, Elsevier, vol. 160(C).
  82. Hunt, Daniel L. & Cheng, Cheng & Pounds, Stanley, 2009. "The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1688-1700, March.
  83. Jing Cao & Song Zhang, 2014. "A Bayesian extension of the hypergeometric test for functional enrichment analysis," Biometrics, The International Biometric Society, vol. 70(1), pages 84-94, March.
  84. Xinran Wu & Kai Zhang & Nanyu Kuang & Xiangzhen Kong & Miao Cao & Zhengxu Lian & Yu Liu & Huanxin Fan & Gechang Yu & Zhaowen Liu & Wei Cheng & Tianye Jia & Barbara J. Sahakian & Trevor W. Robbins & Ji, 2025. "Developing brain asymmetry shapes cognitive and psychiatric outcomes in adolescence," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
  85. T. Tony Cai & Wenguang Sun & Weinan Wang, 2019. "Covariate‐assisted ranking and screening for large‐scale two‐sample inference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(2), pages 187-234, April.
  86. Robert R. Delongchamp & John F. Bowyer & James J. Chen & Ralph L. Kodell, 2004. "Multiple-Testing Strategy for Analyzing cDNA Array Data on Gene Expression," Biometrics, The International Biometric Society, vol. 60(3), pages 774-782, September.
  87. Ardia, David & Boudt, Kris, 2018. "The peer performance ratios of hedge funds," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 351-368.
  88. M. Kathleen Kerr, 2003. "Design Considerations for Efficient and Effective Microarray Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 822-828, December.
  89. Tim Bancroft & Chuanlong Du & Dan Nettleton, 2013. "Estimation of False Discovery Rate Using Sequential Permutation p-Values," Biometrics, The International Biometric Society, vol. 69(1), pages 1-7, March.
  90. Mohammad Reza Mahmoudi & Mohsen Maleki, 2017. "A new method to detect periodically correlated structure," Computational Statistics, Springer, vol. 32(4), pages 1569-1581, December.
  91. Chen, Xiongzhi, 2019. "Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue–Stieltjes integral equations," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 724-744.
  92. Andrew Y. Chen, 2022. "Most claimed statistical findings in cross-sectional return predictability are likely true," Papers 2206.15365, arXiv.org, revised Nov 2025.
  93. Xiaoquan Wen, 2017. "Robust Bayesian FDR Control Using Bayes Factors, with Applications to Multi-tissue eQTL Discovery," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 28-49, June.
  94. Baolin Wu & Zhong Guan & Hongyu Zhao, 2006. "Parametric and Nonparametric FDR Estimation Revisited," Biometrics, The International Biometric Society, vol. 62(3), pages 735-744, September.
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  97. Chen, Song Xi & Guo, Bin & Qiu, Yumou, 2023. "Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding," Journal of Econometrics, Elsevier, vol. 235(2), pages 1337-1354.
  98. Debashis Ghosh, 2006. "Shrunken p-Values for Assessing Differential Expression with Applications to Genomic Data Analysis," Biometrics, The International Biometric Society, vol. 62(4), pages 1099-1106, December.
  99. Tuomas Hämälä & Christopher Moore & Laura Cowan & Matthew Carlile & David Gopaulchan & Marie K. Brandrud & Siri Birkeland & Matthew Loose & Filip Kolář & Marcus A. Koch & Levi Yant, 2024. "Impact of whole-genome duplications on structural variant evolution in Cochlearia," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
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  102. T. Tony Cai & Wenguang Sun, 2017. "Optimal screening and discovery of sparse signals with applications to multistage high throughput studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 197-223, January.
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  104. Nucera, Federico & Valente, Giorgio, 2013. "Carry trades and the performance of currency hedge funds," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 407-425.
  105. Tingting Cui & Pengfei Wang & Wensheng Zhu, 2021. "Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 737-757, September.
  106. T. Tony Cai & Zijian Guo & Yin Xia, 2023. "Statistical inference and large-scale multiple testing for high-dimensional regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(4), pages 1135-1171, December.
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  114. Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(4), pages 1963-2036.
  115. Sofia Palionnaya & Oleg Shestakov, 2020. "Asymptotic Properties of MSE Estimate for the False Discovery Rate Controlling Procedures in Multiple Hypothesis Testing," Mathematics, MDPI, vol. 8(11), pages 1-11, November.
  116. Jiangzhou Wang & Pengfei Wang, 2024. "Large-scale dependent multiple testing via hidden semi-Markov models," Computational Statistics, Springer, vol. 39(3), pages 1093-1126, May.
  117. Aurélie Nakamura & Olivier François & Johanna Lepeule, 2021. "Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review," IJERPH, MDPI, vol. 18(10), pages 1-19, May.
  118. Zhao, Haibing, 2014. "Adaptive FWER control procedure for grouped hypotheses," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 63-70.
  119. Michele Guindani & Peter Müller & Song Zhang, 2009. "A Bayesian discovery procedure," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(5), pages 905-925, November.
  120. Axel Gandy & Georg Hahn, 2016. "A Framework for Monte Carlo based Multiple Testing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 1046-1063, December.
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