Cover Image

Aggregating Dependent Signals with Heavy-Tailed Combination Tests

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gui, Lin, Jiang, Yuchao, Wang, Jingshu
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence
by: Gui, Lin, et al.
Published: (2025)

Asymptotic Expansion and Bounds for the Bias of Empirical Tail Value-at-Risk
by: Gribkova, Nadezhda, et al.
Published: (2026)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)

Post-clustering Inference under Dependence
by: González-Delgado, Javier, et al.
Published: (2023)

Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)

Detecting Where Effects Occur by Testing Hypotheses in Order
by: Bowers, Jake, et al.
Published: (2026)

Testing Against Tree Ordered Alternatives in One-way ANOVA
by: Halder, Subha, et al.
Published: (2025)

False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies
by: He, Jianliang, et al.
Published: (2024)

Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
by: Castro-Prado, Fernando, et al.
Published: (2024)

Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
by: Li, Danning, et al.
Published: (2024)

Moving Aggregate Modified Autoregressive Copula-Based Time Series Models (MAGMAR-Copulas)
by: Pappert, Sven
Published: (2024)

Statistical Inference for Cell Type Deconvolution
by: Xie, Dongyue, et al.
Published: (2022)

Estimation of Over-parameterized Models from an Auto-Modeling Perspective
by: Jiang, Yiran, et al.
Published: (2022)

Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020)

Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
by: Xu, Jiazhen, et al.
Published: (2026)

Temporal label recovery from noisy dynamical data
by: Khoo, Yuehaw, et al.
Published: (2024)

Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)

Plant-Capture Methods for Estimating Population Size from Uncertain Plant Captures
by: Wang, Yiran, et al.
Published: (2024)

Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)

Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
by: Khellaf, Rémi, et al.
Published: (2025)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Sun, Jiren, et al.
Published: (2024)

Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
by: Lin, Zhengqi, et al.
Published: (2025)

Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective
by: Lin, Zhexiao, et al.
Published: (2026)

Recursive Neyman Algorithm for Optimum Sample Allocation under Box Constraints on Sample Sizes in Strata
by: Wesołowski, Jacek, et al.
Published: (2023)

Robust Functional Principal Component Analysis for Non-Euclidean Random Objects
by: Xu, Jiazhen, et al.
Published: (2023)

A semi-parametric model for assessing the effect of temperature on ice accumulation rate from Antarctic ice core data
by: Srivastava, Radhendushka, et al.
Published: (2023)

Rank-adaptive covariance testing with applications to genomics and neuroimaging
by: Veitch, David, et al.
Published: (2023)

Small Sample Inference for Two-way Capture Recapture Experiments
by: Rivest, Louis-Paul, et al.
Published: (2023)

Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
by: Aletti, Giacomo, et al.
Published: (2023)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
by: Spearing, Jess, et al.
Published: (2023)

High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions
by: Xue, Fei, et al.
Published: (2023)

Necessary and sufficient conditions for posterior propriety for generalized linear mixed models
by: Rao, Yalin, et al.
Published: (2023)

Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)

Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
by: Yang, Yachong, et al.
Published: (2023)

Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
by: Andrés, A. Martín, et al.
Published: (2026)

On self-training of summary data with genetic applications
by: Su, Buxin, et al.
Published: (2025)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
by: Zhang, Tianyu, et al.
Published: (2024)

A Kullback-Leibler divergence test for multivariate extremes: theory and practice
by: Engelke, Sebastian, et al.
Published: (2026)

Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)

Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)