Cover Image

Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chung, Jaewon, Varjavand, Bijan, Arroyo, Jesus, Alyakin, Anton, Agterberg, Joshua, Tang, Minh, Vogelstein, Joshua T., Priebe, Carey E.
Format:	Preprint
Published:	2019
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
by: Alyakin, Anton A., et al.
Published: (2020)

Multiscale Comparative Connectomics
by: Gopalakrishnan, Vivek, et al.
Published: (2020)

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

From Distance Correlation to Multiscale Graph Correlation
by: Shen, Cencheng, et al.
Published: (2017)

Community Correlations and Testing Independence Between Binary Graphs
by: Shen, Cencheng, et al.
Published: (2019)

Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
by: Shen, Cencheng, et al.
Published: (2018)

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
by: Chen, Guodong, et al.
Published: (2020)

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

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

Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes
by: Agterberg, Joshua, et al.
Published: (2020)

Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)

Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
by: Agterberg, Joshua, et al.
Published: (2022)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)

Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)

Occam Factor for Random Graphs: Erdös-Rényi, Independent Edge, and Rank-1 Stochastic Blockmodel
by: Wang, Tianyu, et al.
Published: (2023)

Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
by: Agterberg, Joshua, et al.
Published: (2022)

When prompt perturbations break your A/B test: A valid statistical test for generative surveying
by: Helm, Hayden, et al.
Published: (2026)

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection
by: Shen, Cencheng, et al.
Published: (2014)

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025)

Two-Sample Hypothesis Testing for Large Random Graphs of Unequal Size
by: Jin, Xin, et al.
Published: (2024)

Robust Vertex Classification
by: Chen, Li, et al.
Published: (2013)

A Robust Framework for Graph-based Two-Sample Tests Using Weights
by: Bai, Yichuan, et al.
Published: (2023)

Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024)

Generalized Bayesian Inference for Dynamic Random Dot Product Graphs
by: Loyal, Joshua Daniel
Published: (2025)

Procrustes analysis for high-dimensional data
by: Andreella, Angela, et al.
Published: (2020)

Query-efficient model evaluation using cached responses
by: Helm, Hayden, et al.
Published: (2026)

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation
by: Tang, Runshi, et al.
Published: (2025)

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

Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)

Concentration bounds on response-based vector embeddings of black-box generative models
by: Acharyya, Aranyak, et al.
Published: (2025)

Universally Consistent K-Sample Tests via Dependence Measures
by: Panda, Sambit, et al.
Published: (2019)

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

Dynamic networks clustering via mirror distance
by: Zheng, Runbing, et al.
Published: (2024)

Convergence guarantees for response prediction for latent structure network time series
by: Acharyya, Aranyak, et al.
Published: (2025)

Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
by: Lee, Jonghyeok, et al.
Published: (2025)

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
by: LeVine, Will, et al.
Published: (2025)

Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)

Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs
by: Pang, Lingyou, et al.
Published: (2025)

Neural Wasserstein Two-Sample Tests
by: Hu, Xiaoyu, et al.
Published: (2026)

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