Cover Image

A Multivariate Equivalence Test Based on Mahalanobis Distance with a Data-Driven Margin

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Chao, Weng, Yu-Ting, Liu, Shaobo, Li, Tengfei, Shen, Meiyu, Tsong, Yi
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
by: Kolyvakis, Prodromos, et al.
Published: (2023)

Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
by: Wang, Yuhao, et al.
Published: (2023)

Multivariate Adjustments for Average Equivalence Testing
by: Boulaguiem, Younes, et al.
Published: (2024)

Classification Using Global and Local Mahalanobis Distances
by: Ghosh, Annesha, et al.
Published: (2024)

Multivariate outlier explanations using Shapley values and Mahalanobis distances
by: Mayrhofer, Marcus, et al.
Published: (2022)

Model-Based Clustering with Sequential Outlier Identification using the Distribution of Mahalanobis Distances
by: Doherty, Ultán P., et al.
Published: (2025)

Mahalanobis balancing: a multivariate perspective on approximate covariate balancing
by: Dai, Yimin, et al.
Published: (2022)

Data Fusion with Distributional Equivalence Test-then-pool
by: Yang, Linying, et al.
Published: (2026)

Generation of Multivariate Discrete Data with Generalized Poisson, Negative Binomial and Binomial Marginal Distributions
by: Kwong, Chak, et al.
Published: (2026)

Kernel Tests of Equivalence
by: Liu, Xing, et al.
Published: (2026)

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)

Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator
by: Metodiev, Martin, et al.
Published: (2025)

Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)

Independence Testing for Temporal Data
by: Shen, Cencheng, et al.
Published: (2019)

Detecting Distributional Differences in Spatially Correlated Multivariate Data via Kernel-Smoothed Rank-Based Empirical Copula Tests
by: Mandap, Marco
Published: (2026)

Multivariate Representations of Univariate Marked Hawkes Processes
by: Davis, Louis, et al.
Published: (2024)

Equivalence Test for Mean Functions from Multi-population Functional Data
by: Xu, Chuang, et al.
Published: (2025)

Maximum-of-Differences Test for Comparing Multivariate K-Sample Distributions
by: Lan, Wei, et al.
Published: (2026)

A More Robust Approach to Multivariable Mendelian Randomization
by: Wu, Yinxiang, et al.
Published: (2024)

Modified Tests of Linear Hypotheses Under Heteroscedasticity for Multivariate Functional Data with Finite Sample Sizes
by: Zhu, Tianming
Published: (2025)

The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)

High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020)

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test
by: Lou, Zhilan, et al.
Published: (2026)

Quantile Residual Lifetime Regression for Multivariate Failure Time Data
by: Yu, Tonghui, et al.
Published: (2025)

Mapping Multivariate Phenotypes in the Presence of Missing Observations for Family-Based Data
by: Sahu, Soumya, et al.
Published: (2025)

Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
by: Guha, Subharup, et al.
Published: (2023)

A Generalized Similarity U Test for Multivariate Analysis of Sequencing Data
by: Wei, Changshuai, et al.
Published: (2015)

A Kernel-Based Nonparametric Test for Conditional Independence of Functional Data
by: Tang, Yin, et al.
Published: (2026)

Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)

Derivative Estimation of Multivariate Functional Data
by: Zhu, Yueyun, et al.
Published: (2024)

hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)

A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023)

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)

Testing Multivariate Conditional Independence Using Exchangeable Sampling and Sufficient Statistics
by: Lin, Xiaotong, et al.
Published: (2025)

Clustered Factor Analysis for Multivariate Spatial Data
by: Jin, Yanxiu, et al.
Published: (2024)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)

Fréchet Sufficient Dimension Reduction for Metric Space-Valued Data via Distance Covariance
by: Huang, Hsin-Hsiung, et al.
Published: (2024)

A Dynamic Factor Model for Multivariate Counting Process Data
by: Chen, Fangyi, et al.
Published: (2025)

Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)