:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Guanxun, Zhang, Xianyang
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	https://arxiv.org/abs/2312.02905
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
by: Yan, Jian, et al.
Published: (2022)

Aggregating Dependent Signals with Heavy-Tailed Combination Tests
by: Gui, Lin, et al.
Published: (2023)

An Asymptotically Exact Multiple Testing Procedure under Dependence
by: Datta, Swarnadeep, et al.
Published: (2025)

Asymptotics in Multiple Hypotheses Testing under Dependence: beyond Normality
by: Dey, Monitirtha
Published: (2024)

Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
by: Ai, Chunrong, et al.
Published: (2026)

E-values for k-Sample Tests With Exponential Families
by: Hao, Yunda, et al.
Published: (2023)

Data Gluttony: Epistemic Risks, Dependent Testing and Data Reuse in Large Datasets
by: Dale, Reid, et al.
Published: (2025)

MATES: Multi-view Aggregated Two-Sample Test
by: Cai, Zexi, et al.
Published: (2024)

Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
by: Baumeister, Marléne, et al.
Published: (2025)

Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing
by: Xu, Ziyu, et al.
Published: (2025)

Generalized Independence Test for Modern Data
by: Liu, Mingshuo, et al.
Published: (2024)

Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment
by: Wang, Chang, et al.
Published: (2024)

Multiple Hypothesis Testing To Estimate The Number Of Communities in Stochastic Block Models
by: Jha, Chetkar, et al.
Published: (2025)

E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)

Rethinking Individual Risk and Aggregation in Survival Analysis: A Latent Mechanism Framework
by: Liu, Xijia
Published: (2026)

BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
by: Brown, Benjamin, et al.
Published: (2022)

Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
by: Gu, Yuqi
Published: (2022)

Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)

Multi-Scale CUSUM Tests for Time Dependent Spherical Random Fields
by: Caponera, Alessia, et al.
Published: (2023)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
by: Dey, Monitirtha, et al.
Published: (2023)

Post-hoc $α$ Hypothesis Testing and the Post-hoc $p$-value
by: Koning, Nick W.
Published: (2023)

Conformalized Multiple Testing under Unknown Null Distribution with Symmetric Errors
by: Tian, Yang, et al.
Published: (2025)

Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
by: Sattler, Paavo, et al.
Published: (2024)

Least Squares Inference for Data with Network Dependency
by: Lei, Jing, et al.
Published: (2024)

Robust Estimation for Dependent Binary Network Data
by: Liu, Tianyu, et al.
Published: (2025)

Fully Functional Weighted Testing for Abrupt and Gradual Location Changes in Functional Time Series
by: Kirch, Claudia, et al.
Published: (2026)

Dependence-Aware False Discovery Rate Control in Two-Sided Gaussian Mean Testing
by: Ghosh, Deepra, et al.
Published: (2025)

Hypothesis Testing for a Functional Parameter via Self-normalization
by: Zhang, Yi, et al.
Published: (2026)

Testing for Outliers with Conformal p-values
by: Bates, Stephen, et al.
Published: (2021)

Testing Random Effects for Binomial Data
by: Kania, Lucas, et al.
Published: (2025)

Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
by: Wang, Rui, et al.
Published: (2026)

Two-sample Testing with Block-wise Missingness in Multi-source Data
by: Zhang, Kejian, et al.
Published: (2025)

Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
by: Fang, Qin, et al.
Published: (2024)

Weighted cumulative residual Entropy Generating Function and its properties
by: S., Smitha, et al.
Published: (2024)

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

Large-scale Multiple Testing: Fundamental Limits of False Discovery Rate Control and Compound Oracle
by: Nie, Yutong, et al.
Published: (2023)

Measuring Evidence against Exchangeability and Group Invariance with E-values
by: Koning, Nick W.
Published: (2023)

Extending Kernel Testing To General Designs
by: Ozier-Lafontaine, Anthony, et al.
Published: (2024)

Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight
by: Vazquez, Jesus E., et al.
Published: (2026)

Weighted Holm Procedures: Theory, Properties, and Recommendations
by: Li, Beibei, et al.
Published: (2026)