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Admissible ways of merging p-values under arbitrary dependence
v1v2v3 (latest)

Admissible ways of merging p-values under arbitrary dependence

Annals of Statistics (Ann. Stat.), 2020
28 July 2020
V. Vovk
Bin Wang
Ruodu Wang
ArXiv (abs)PDFHTML

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
E-Scores for (In)Correctness Assessment of Generative Model Outputs
Guneet S. Dhillon
Javier González
Teodora Pandeva
Alicia Curth
ELM
161
1
0
29 Oct 2025
Class conditional conformal prediction for multiple inputs by p-value aggregation
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian
Mohamed Hebiri
Joseph Salmon
197
0
0
09 Jul 2025
Improving the statistical efficiency of cross-conformal prediction
Improving the statistical efficiency of cross-conformal prediction
Matteo Gasparin
Aaditya Ramdas
729
5
0
03 Mar 2025
Data-light Uncertainty Set Merging with Admissibility
Data-light Uncertainty Set Merging with Admissibility
Shenghao Qin
Jianliang He
Bowen Gang
Bowen Gang
Yin Xia
483
0
0
16 Oct 2024
Sub-uniformity of harmonic mean p-values
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
Combining exchangeable p-valuesProceedings of the National Academy of Sciences of the United States of America (PNAS), 2024
Matteo Gasparin
Ruodu Wang
Aaditya Ramdas
639
9
0
04 Apr 2024
Conformal online model aggregation
Conformal online model aggregation
Matteo Gasparin
Aaditya Ramdas
558
11
0
22 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionEuropean Conference on Computer Vision (ECCV), 2024
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
334
20
0
12 Mar 2024
Heavy-tailed $p$-value combinations from the perspective of extreme
  value theory
Heavy-tailed ppp-value combinations from the perspective of extreme value theory
Yeonwoo Rho
199
0
0
05 Feb 2024
Optimal testing using combined test statistics across independent
  studies
Optimal testing using combined test statistics across independent studiesNeural 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
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural NetworksEntropy (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
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability GuaranteesIEEE 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
Derandomized Novelty Detection with FDR Control via Conformal E-valuesNeural Information Processing Systems (NeurIPS), 2023
Meshi Bashari
Amir Epstein
Yaniv Romano
Matteo Sesia
582
25
0
14 Feb 2023
Multiple testing under negative dependence
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
E-values as unnormalized weights in multiple testingBiometrika (Biometrika), 2022
Nikolaos Ignatiadis
Ruodu Wang
Aaditya Ramdas
677
33
0
26 Apr 2022
Joint mixability and notions of negative dependence
Joint mixability and notions of negative dependenceMathematics of Operations Research (MOR), 2022
Takaaki Koike
Liyuan Lin
Ruodu Wang
452
1
0
25 Apr 2022
A unified framework for bandit multiple testing
A unified framework for bandit multiple testingNeural Information Processing Systems (NeurIPS), 2021
Ziyu Xu
Ruodu Wang
Aaditya Ramdas
279
20
0
15 Jul 2021
Large-scale simultaneous inference under dependence
Large-scale simultaneous inference under dependenceScandinavian 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
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
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
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
Merging sequential e-values via martingalesElectronic Journal of Statistics (EJS), 2020
V. Vovk
Ruodu Wang
MoMe
386
13
0
13 Jul 2020
Confidence and discoveries with e-values
Confidence and discoveries with e-valuesStatistical Science (Statist. Sci.), 2019
V. Vovk
Ruodu Wang
403
32
0
31 Dec 2019
E-values: Calibration, combination, and applications
E-values: Calibration, combination, and applicationsAnnals of Statistics (Ann. Stat.), 2019
V. Vovk
Ruodu Wang
586
256
0
12 Dec 2019
1
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