Cover Image

A Bootstrap-based Method for Testing Network Similarity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhadra, Somnath, Chakraborty, Kaustav, Sengupta, Srijan, Lahiri, Soumendra
Format:	Preprint
Published:	2019
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting and Localizing Anomalous Cliques in Inhomogeneous Networks using Egonets
by: Bhadra, Subhankar, et al.
Published: (2018)

Fitting Sparse Markov Models to Categorical Time Series Using Convex Clustering
by: Majumder, Tuhin, et al.
Published: (2022)

A Unified Framework for Community Detection and Model Selection in Blockmodels
by: Bhadra, Subhankar, et al.
Published: (2025)

Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024)

Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)

Scalable community detection in massive networks via predictive assignment
by: Bhadra, Subhankar, et al.
Published: (2025)

Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
by: Ganguly, Indrila, et al.
Published: (2023)

Multi-Resolution Analysis of Variable Selection for Road Safety in St. Louis and Its Neighboring Area
by: Thakur, Debjoy, et al.
Published: (2026)

Testing for the Network Small-World Property
by: Lovekar, Kartik, et al.
Published: (2021)

A Note on the Prediction-Powered Bootstrap
by: Zrnic, Tijana
Published: (2024)

Generalized Similarity U: A Non-parametric Test of Association Based on Similarity
by: Wei, Changshuai, et al.
Published: (2018)

An Online Bootstrap for Time Series
by: Palm, Nicolai, et al.
Published: (2023)

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

Variational Bayes and Truncation approximations for Enriched Dirichlet process mixtures
by: Bhadra, Somnath, et al.
Published: (2026)

Wild Bootstrap Inference for Non-Negative Matrix Factorization with Random Effects
by: Satoh, Kenichi
Published: (2026)

Bootstrapped Control Limits for Score-Based Concept Drift Control Charts
by: Wu, Jiezhong, et al.
Published: (2025)

Bootstrap aggregation and confidence measures to improve time series causal discovery
by: Debeire, Kevin, et al.
Published: (2023)

Bootstrapping the Cross-Validation Estimate
by: Cai, Bryan, et al.
Published: (2023)

Predictive Subsampling for Scalable Inference in Networks
by: Kumar, Arpan, et al.
Published: (2026)

A Locally Adaptive Algorithm for Multiple Testing with Network Structure
by: Liang, Ziyi, et al.
Published: (2022)

Robust Local Polynomial Regression with Similarity Kernels
by: Shulman, Yaniv
Published: (2025)

Doubly Robust Conditional Independence Testing with Generative Neural Networks
by: Zhang, Yi, et al.
Published: (2024)

Conditional Testing based on Localized Conformal p-values
by: Wu, Xiaoyang, et al.
Published: (2024)

Network Cross-Validation and Model Selection via Subsampling
by: Chakrabarty, Sayan, et al.
Published: (2025)

Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
by: Pathak, Rajdeep, et al.
Published: (2026)

Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels
by: Saxena, Ayushi, et al.
Published: (2022)

Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
by: Chen, Qianyi, et al.
Published: (2026)

Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
by: Paik, Seunghoon, et al.
Published: (2023)

Change Point Detection with Copula Entropy based Two-Sample Test
by: Ma, Jian
Published: (2024)

We Have It Covered: A Resampling-based Method for Uplift Model Comparison
by: Liu, Yang, et al.
Published: (2025)

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
by: Naser, Ahmed Z, et al.
Published: (2024)

Network-based Neighborhood regression
by: Zhen, Yaoming, et al.
Published: (2024)

$t$-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing
by: Jeunen, Olivier
Published: (2025)

Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
by: Liu, Kaizhao, et al.
Published: (2024)

SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs
by: Das, Sourajit, et al.
Published: (2026)

Testing Credibility of Public and Private Surveys through the Lens of Regression
by: Basu, Debabrota, et al.
Published: (2024)

Predictive Performance Test based on the Exhaustive Nested Cross-Validation for High-dimensional data
by: Gauran, Iris Ivy, et al.
Published: (2024)

A generalized hypothesis test for community structure in networks
by: Yanchenko, Eric, et al.
Published: (2021)

A unified Bayesian framework for interval hypothesis testing in clinical trials
by: Chakraborty, Abhisek, et al.
Published: (2024)

Benchmark of Likelihood-Free Inference Methods based on Neural and Optimal Transport Approaches
by: Aka, Samira, et al.
Published: (2026)