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Admissible ways of merging p-values under arbitrary dependence
Annals of Statistics (Ann. Stat.), 2020
28 July 2020
V. Vovk
Bin Wang
Ruodu Wang
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Papers citing
"Admissible ways of merging p-values under arbitrary dependence"
24 / 24 papers shown
E-Scores for (In)Correctness Assessment of Generative Model Outputs
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Class conditional conformal prediction for multiple inputs by p-value aggregation
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Mohamed Hebiri
Joseph Salmon
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Improving the statistical efficiency of cross-conformal prediction
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Aaditya Ramdas
729
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Data-light Uncertainty Set Merging with Admissibility
Shenghao Qin
Jianliang He
Bowen Gang
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Yin Xia
483
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0
16 Oct 2024
Sub-uniformity of harmonic mean p-values
Yuyu Chen
Ruodu Wang
Yuming Wang
Wenhao Zhu
288
2
0
02 May 2024
Combining exchangeable p-values
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2024
Matteo Gasparin
Ruodu Wang
Aaditya Ramdas
639
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04 Apr 2024
Conformal online model aggregation
Matteo Gasparin
Aaditya Ramdas
558
11
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22 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
European Conference on Computer Vision (ECCV), 2024
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
334
20
0
12 Mar 2024
Heavy-tailed
p
p
p
-value combinations from the perspective of extreme value theory
Yeonwoo Rho
199
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0
05 Feb 2024
Optimal testing using combined test statistics across independent studies
Neural Information Processing Systems (NeurIPS), 2023
Botond Szabó
A. van der Vaart
Lasse Vuursteen
Harry Van Zanten
287
2
0
30 Oct 2023
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks
Entropy (Entropy), 2023
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
333
4
0
25 Oct 2023
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2023
Jiechen Chen
Sangwoo Park
Osvaldo Simeone
540
8
0
18 May 2023
Derandomized Novelty Detection with FDR Control via Conformal E-values
Neural Information Processing Systems (NeurIPS), 2023
Meshi Bashari
Amir Epstein
Yaniv Romano
Matteo Sesia
582
25
0
14 Feb 2023
Multiple testing under negative dependence
Ziyu Chi
Aaditya Ramdas
Ruodu Wang
438
17
0
19 Dec 2022
E-values as unnormalized weights in multiple testing
Biometrika (Biometrika), 2022
Nikolaos Ignatiadis
Ruodu Wang
Aaditya Ramdas
677
33
0
26 Apr 2022
Joint mixability and notions of negative dependence
Mathematics of Operations Research (MOR), 2022
Takaaki Koike
Liyuan Lin
Ruodu Wang
452
1
0
25 Apr 2022
A unified framework for bandit multiple testing
Neural Information Processing Systems (NeurIPS), 2021
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
279
20
0
15 Jul 2021
Large-scale simultaneous inference under dependence
Scandinavian Journal of Statistics (Scand. J. Stat.), 2021
Jinjin Tian
Xu Chen
Eugene Katsevich
J. Goeman
Aaditya Ramdas
269
16
0
22 Feb 2021
Testing with p*-values: Between p-values, mid p-values, and e-values
Ruodu Wang
492
6
0
27 Oct 2020
False discovery rate control with e-values
Ruodu Wang
Aaditya Ramdas
693
155
0
06 Sep 2020
Trade-off between validity and efficiency of merging p-values under arbitrary dependence
Yuyu Chen
Peng Liu
K. S. Tan
Ruodu Wang
555
16
0
24 Jul 2020
Merging sequential e-values via martingales
Electronic Journal of Statistics (EJS), 2020
V. Vovk
Ruodu Wang
MoMe
386
13
0
13 Jul 2020
Confidence and discoveries with e-values
Statistical Science (Statist. Sci.), 2019
V. Vovk
Ruodu Wang
403
32
0
31 Dec 2019
E-values: Calibration, combination, and applications
Annals of Statistics (Ann. Stat.), 2019
V. Vovk
Ruodu Wang
586
256
0
12 Dec 2019
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