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Cauchy combination test: a powerful test with analytic p-value
  calculation under arbitrary dependency structures
v1v2 (latest)

Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures

27 August 2018
Yaowu Liu
Jun Xie
ArXiv (abs)PDFHTML

Papers citing "Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures"

32 / 32 papers shown
Title
Improving Coverage in Combined Prediction Sets with Weighted p-values
Improving Coverage in Combined Prediction Sets with Weighted p-values
Gina Wong
Drew Prinster
Suchi Saria
Rama Chellappa
Anqi Liu
64
0
0
17 May 2025
Conditional Independence Test Based on Transport Maps
Conditional Independence Test Based on Transport Maps
Chenxuan He
Yuan Gao
Liping Zhu
Jian Huang
OT
80
0
0
13 Apr 2025
ViTally Consistent: Scaling Biological Representation Learning for Cell
  Microscopy
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
Kian Kenyon-Dean
Zitong Jerry Wang
John Urbanik
Konstantin Donhauser
Jason Hartford
...
Safiye Celik
Marta M. Fay
Juan Sebastian Rodriguez Vera
I. Haque
Oren Z. Kraus
MedIm
113
6
0
04 Nov 2024
Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion
Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion
Shenghao Qin
Jianliang He
Bowen Gang
Bowen Gang
Yin Xia
93
0
0
16 Oct 2024
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional
  Data with Application to Microbiome Data Analysis
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li
Lingzhou Xue
Haoyi Yang
Xiufan Yu
97
4
0
04 May 2024
Sub-uniformity of harmonic mean p-values
Sub-uniformity of harmonic mean p-values
Yuyu Chen
Ruodu Wang
Yuming Wang
Wenhao Zhu
86
2
0
02 May 2024
A Unified Combination Framework for Dependent Tests with Applications to
  Microbiome Association Studies
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
Xiufan Yu
Linjun Zhang
Arun Srinivasan
Min-ge Xie
Lingzhou Xue
62
1
0
14 Apr 2024
Enhancing Out-of-Distribution Detection with Multitesting-based
  Layer-wise Feature Fusion
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
98
1
0
16 Mar 2024
Hypothesis testing for homogenous of nodes in $β$-models
Hypothesis testing for homogenous of nodes in βββ-models
K. Fu
Jianwei Hu
Meng Sun
28
0
0
10 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
40
0
0
05 Feb 2024
Optimal Nonparametric Inference on Network Effects with Dependent Edges
Optimal Nonparametric Inference on Network Effects with Dependent Edges
Wenqin Du
Yuan Zhang
Wen Zhou
104
1
0
05 Jan 2024
Doublethink: simultaneous Bayesian-frequentist model-averaged hypothesis
  testing
Doublethink: simultaneous Bayesian-frequentist model-averaged hypothesis testing
H. R. Fryer
N. Arning
Daniel J. Wilson
87
1
0
29 Dec 2023
Boosting Data Analytics With Synthetic Volume Expansion
Boosting Data Analytics With Synthetic Volume Expansion
Xiaotong Shen
Yifei Liu
Rex Shen
88
3
0
27 Oct 2023
Kernel meets sieve: transformed hazards models with sparse longitudinal
  covariates
Kernel meets sieve: transformed hazards models with sparse longitudinal covariates
Dayu Sun
Zhuowei Sun
Xingqiu Zhao
Hongyuan Cao
16
1
0
29 Aug 2023
Rank-transformed subsampling: inference for multiple data splitting and
  exchangeable p-values
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. R. Guo
Rajen Dinesh Shah
66
14
0
06 Jan 2023
Asymmetric predictability in causal discovery: an information theoretic
  approach
Asymmetric predictability in causal discovery: an information theoretic approach
S. Purkayastha
Peter X.-K. Song
33
0
0
26 Oct 2022
Inference of nonlinear causal effects with GWAS summary data
Inference of nonlinear causal effects with GWAS summary data
Ben Dai
Chunlin Li
Haoran Xue
Wei Pan
Xiaotong Shen
CML
23
3
0
19 Sep 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi
Beepul Bharti
Yaniv Romano
Jeremias Sulam
FAtt
103
5
0
14 Jul 2022
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
Wanjun Liu
Xiufan Yu
Runze Li
87
14
0
29 Oct 2021
Power-enhanced simultaneous test of high-dimensional mean vectors and
  covariance matrices with application to gene-set testing
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu
Danning Li
Lingzhou Xue
Runze Li
353
23
0
30 Sep 2021
Too Many, Too Improbable: testing joint hypotheses and closed testing
  shortcuts
Too Many, Too Improbable: testing joint hypotheses and closed testing shortcuts
Phillip B. Mogensen
B. Markussen
70
1
0
10 Aug 2021
The Cauchy Combination Test under Arbitrary Dependence Structures
The Cauchy Combination Test under Arbitrary Dependence Structures
M. Long
Zhengbang Li
Wei Zhang
Qizhai Li
431
19
0
13 Jul 2021
Statistical Testing under Distributional Shifts
Statistical Testing under Distributional Shifts
Nikolaj Thams
Sorawit Saengkyongam
Niklas Pfister
J. Peters
OOD
128
10
0
22 May 2021
SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests
  in Biobank Data
SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests in Biobank Data
Jocelyn T. Chi
Ilse C. F. Ipsen
T. Hsiao
Ching-Heng Lin
Li-San Wang
Wan-Ping Lee
T. Lu
Jung-Ying Tzeng
11
5
0
07 May 2021
Large-scale simultaneous inference under dependence
Large-scale simultaneous inference under dependence
Jinjin Tian
Xu Chen
Eugene Katsevich
J. Goeman
Aaditya Ramdas
98
14
0
22 Feb 2021
Intrinsic Sliced Wasserstein Distances for Comparing Collections of
  Probability Distributions on Manifolds and Graphs
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
Raif M. Rustamov
S. Majumdar
54
12
0
28 Oct 2020
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
87
2
0
27 Oct 2020
Admissible ways of merging p-values under arbitrary dependence
Admissible ways of merging p-values under arbitrary dependence
V. Vovk
Bin Wang
Ruodu Wang
213
65
0
28 Jul 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
119
15
0
24 Jul 2020
Fisher's combined probability test for high-dimensional covariance
  matrices
Fisher's combined probability test for high-dimensional covariance matrices
Xiufan Yu
Danning Li
Lingzhou Xue
51
25
0
31 May 2020
Accurate $p$-Value Calculation for Generalized Fisher's Combination
  Tests Under Dependence
Accurate ppp-Value Calculation for Generalized Fisher's Combination Tests Under Dependence
Hong Zhang
Zheyang Wu
23
1
0
03 Mar 2020
Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point
  Patterns
Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns
Raif M. Rustamov
James T. Klosowski
64
7
0
31 May 2019
1