Cover Image

Pearson Chi-squared Conditional Randomization Test

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Javanmard, Adel, Mehrabi, Mohammad
Format:	Preprint
Published:	2021
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
by: Castro-Prado, Fernando, et al.
Published: (2024)

Efficient algorithms for the sensitivities of the Pearson correlation coefficient and its statistical significance to online data
by: Harary, Marc
Published: (2024)

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

Efficient High-Dimensional Conditional Independence Testing
by: Banerjee, Bilol
Published: (2025)

A Ball Divergence Based Measure For Conditional Independence Testing
by: Banerjee, Bilol, et al.
Published: (2024)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

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

Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
by: Wang, Yiren, et al.
Published: (2021)

A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
by: Zhang, Zifeng, et al.
Published: (2024)

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)

On the statistical analysis of grouped data: when Pearson $χ^2$ and other divisible statistics are not goodness-of-fit tests
by: Algeri, Sara, et al.
Published: (2024)

Random irregular histograms
by: Simensen, Oskar Høgberg, et al.
Published: (2025)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)

Testing Partially-Identifiable Causal Queries Using Ternary Tests
by: Bhadane, Sourbh, et al.
Published: (2026)

Conditional Extremes with Graphical Models
by: Farrell, Aiden, et al.
Published: (2024)

Cross-Validation with Antithetic Gaussian Randomization
by: Liu, Sifan, et al.
Published: (2024)

Testing Imprecise Hypotheses
by: Kania, Lucas, et al.
Published: (2025)

On the Estimation of bivariate Conditional Transition Rates
by: Bathke, Theis
Published: (2024)

Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
by: Dunn, Robin, et al.
Published: (2021)

Wavelet Latent Position Exponential Random Graphs
by: Papamichalis, Marios, et al.
Published: (2025)

A Conditional Distribution Equality Testing Framework using Deep Generative Learning
by: Zheng, Siming, et al.
Published: (2025)

Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)

Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024)

Application of Random Matrix Theory in High-Dimensional Statistics
by: Bhattacharyya, Swapnaneel, et al.
Published: (2024)

Graphon-Level Bayesian Predictive Synthesis for Random Network
by: Papamichalis, Marios, et al.
Published: (2025)

Regression Adjustments for Double Randomization in Two-Sided Marketplaces
by: Sudijono, Timothy, et al.
Published: (2026)

Random measure priors in Bayesian recovery from sketches
by: Beraha, Mario, et al.
Published: (2023)

Testing conditional independence under isotonicity
by: Hore, Rohan, et al.
Published: (2025)

A New Look at Bayesian Testing
by: Datta, Jyotishka, et al.
Published: (2026)

Testing Elliptical Models in High Dimensions
by: Wang, Siyao, et al.
Published: (2024)

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

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

Smoothing the Conditional Value-at-Risk based Pickands Estimators
by: Li, Yizhou, et al.
Published: (2024)

Flexible Conformal Highest Predictive Conditional Density Sets
by: Sampson, Max, et al.
Published: (2024)

Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)

Identifying Topological Differences in Two Populations of Random Geometric Objects
by: Kumar, Satish, et al.
Published: (2026)

Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
by: Mikhaeil, Jonas M., et al.
Published: (2024)

Randomization-based confidence sets for the local average treatment effect
by: Aronow, P. M., et al.
Published: (2024)