Cover Image

A new graph-based two-sample test for multivariate and object data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Hao, Friedman, Jerome H.
Format:	Preprint
Published:	2013
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reducing multivariate independence testing to two bivariate means comparisons
by: Xu, Kai, et al.
Published: (2024)

Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023)

A fast and effective kernel two-sample test for large-scale data
by: Song, Hoseung, et al.
Published: (2021)

Asymptotic linear dependence and ellipse statistics for multivariate two-sample homogeneity test
by: Shen, Chifeng, et al.
Published: (2025)

A novel smoothing-based goodness-of-fit test of covariance for multivariate sparse functional data
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

The robusTest package: two-sample tests revisited
by: Ammous, Sinda, et al.
Published: (2022)

Uniform-over-dimension location tests for multivariate and high-dimensional data
by: Karmakar, Ritabrata, et al.
Published: (2025)

The general linear hypothesis testing problem for multivariate functional data with applications
by: Zhu, Tianming
Published: (2023)

A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data
by: Hussain, Abid, et al.
Published: (2025)

A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)

Mitigating dimensionality effects with robust graph constructions for testing
by: Zhu, Yejiong, et al.
Published: (2023)

Hypothesis testing for partial tail correlation in multivariate extremes
by: Kim, Mihyun, et al.
Published: (2022)

On two-sample testing for data with arbitrarily missing values
by: Zeng, Yijin, et al.
Published: (2024)

Scale two-sample testing with arbitrarily missing data
by: Zeng, Yijin, et al.
Published: (2025)

Power and sample size calculation for multivariate longitudinal trials using the longitudinal rank sum test
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

A unified framework for multivariate two-sample and k-sample kernel-based quadratic distance goodness-of-fit tests
by: Markatou, Marianthi, et al.
Published: (2024)

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

A semiparametric two-sample homogeneity test with nonignorable nonresponse using callback data
by: Wang, Xinyu, et al.
Published: (2026)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

Depth-based estimation for multivariate functional data with phase variability
by: Arribas-Gil, Ana, et al.
Published: (2026)

Inference from multivariate differential recruitment in respondent-driven sampling data
by: Reinoso, Vanesa, et al.
Published: (2026)

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation
by: Yang, Yunqi, et al.
Published: (2024)

A two-sample test based on averaged Wilcoxon rank sums over interpoint distances
by: Betken, Annika, et al.
Published: (2024)

Distance-based Chatterjee correlation: a new generalized robust measure of directed association for multivariate real and complex-valued data
by: Pascual-Marqui, Roberto D., et al.
Published: (2024)

Empirical partially Bayes two sample testing
by: Ling, Wanyi, et al.
Published: (2025)

Variance component score test for multivariate change point detection with applications to mobile health
by: Martin, Melissa Lynne, et al.
Published: (2026)

A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
by: Palma, Marco, et al.
Published: (2025)

Mesoscale two-sample testing for networks
by: MacDonald, Peter W., et al.
Published: (2024)

Dealing with overdispersion in multivariate count data
by: Corsini, Noemi, et al.
Published: (2021)

An integer programming-based approach to construct exact two-sample binomial tests with maximum power
by: Baas, Stef, et al.
Published: (2025)

Cholesky-based multivariate Gaussian regression
by: Muschinski, Thomas, et al.
Published: (2021)

Bayesian repulsive mixture model for multivariate functional data
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)

Inside-out cross-covariance for spatial multivariate data
by: Peruzzi, Michele
Published: (2024)

A new multivariate and non-parametric association measure based on paired orthants
by: Martinez-Rabert, Eloi
Published: (2023)

To impute or not to? Testing multivariate normality on incomplete dataset: Revisiting the BHEP test
by: Aleksić, Danijel, et al.
Published: (2024)

Is this normal? A new projection pursuit index to assess a sample against a multivariate null distribution
by: Calvi, Annalisa, et al.
Published: (2025)

DiPMInd: Distance Profile based Mutual Independence testing for random objects
by: Chen, Yaqing, et al.
Published: (2024)

DEEPEAST technique to enhance power in two-sample tests via the same-attraction function
by: Chen, Yiting, et al.
Published: (2024)

Modelling multivariate spatio-temporal data with identifiable variational autoencoders
by: Sipilä, Mika, et al.
Published: (2024)

Hypothesis testing for the uniformity of random geometric graph
by: Yuan, Mingao
Published: (2025)