Community Correlations and Testing Independence Between Binary Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Cencheng, Arroyo, Jesüs, Xiong, Junhao, Vogelstein, Joshua T. |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| 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)
by: Shen, Cencheng, et al.
Published: (2019)
Independence Testing for Temporal Data
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)
by: Lee, Youjin, et al.
Published: (2017)
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020)
by: Shen, Cencheng, et al.
Published: (2020)
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
by: Leiner, James, et al.
Published: (2023)
by: Leiner, James, et al.
Published: (2023)
hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)
by: Panda, Sambit, et al.
Published: (2019)
Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
by: Shen, Cencheng, et al.
Published: (2018)
by: Shen, Cencheng, et al.
Published: (2018)
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Estimating Default Probability and Correlation using Stan
by: Pinera-Esquivel, Jesus A.
Published: (2024)
by: Pinera-Esquivel, Jesus A.
Published: (2024)
Learning Fair Decisions with Factor Models: Applications to Annuity Pricing
by: Huang, Fei, et al.
Published: (2024)
by: Huang, Fei, et al.
Published: (2024)
Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data
by: Gauran, Iris Ivy, et al.
Published: (2024)
by: Gauran, Iris Ivy, et al.
Published: (2024)
Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics
by: Chung, Jaewon, et al.
Published: (2019)
by: Chung, Jaewon, et al.
Published: (2019)
Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)
by: Helm, Hayden S., et al.
Published: (2023)
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
by: Gansou, Yvelin, et al.
Published: (2025)
by: Gansou, Yvelin, et al.
Published: (2025)
Truncated Cauchy Combination Test: a Robust and Powerful P-value Combination Method with Arbitrary Correlations
by: Chen, Bo, et al.
Published: (2025)
by: Chen, Bo, et al.
Published: (2025)
Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
by: Vazquez, Jesus E., et al.
Published: (2024)
by: Vazquez, Jesus E., et al.
Published: (2024)
Causally Sound Priors for Binary Experiments
by: Irons, Nicholas J., et al.
Published: (2023)
by: Irons, Nicholas J., et al.
Published: (2023)
On Robust Measures of Spatial Correlation
by: Nardelli, Vincenzo, et al.
Published: (2024)
by: Nardelli, Vincenzo, et al.
Published: (2024)
Evaluating Binary Outcome Classifiers Estimated from Survey Data
by: Wadekar, Adway S., et al.
Published: (2023)
by: Wadekar, Adway S., et al.
Published: (2023)
Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)
by: Li, Jiaxun, et al.
Published: (2025)
Generalized Correlation Regression for Disentangling Dependence in Clustered Data
by: Wang, Yibo, et al.
Published: (2025)
by: Wang, Yibo, et al.
Published: (2025)
The Use of Variational Inference for Lifetime Data with Spatial Correlations
by: Wang, Yueyao, et al.
Published: (2025)
by: Wang, Yueyao, et al.
Published: (2025)
Evaluating Bias Reduction Methods in Binary Emax Model for Reliable Dose-Response Estimation
by: Zhang, Jiangshan, et al.
Published: (2025)
by: Zhang, Jiangshan, et al.
Published: (2025)
Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
by: Ramezani, Niloofar, et al.
Published: (2026)
by: Ramezani, Niloofar, et al.
Published: (2026)
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)
by: Bao, Yihan, et al.
Published: (2023)
A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling
by: Silva, Daniela, et al.
Published: (2025)
by: Silva, Daniela, et al.
Published: (2025)
Correlated Confounding Variables Are Not Easily Controlled for in Large Survey Research
by: Press, William H.
Published: (2025)
by: Press, William H.
Published: (2025)
Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis
by: Zhang, Jiangshan, et al.
Published: (2024)
by: Zhang, Jiangshan, et al.
Published: (2024)
A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
by: Hariharan, Pavithra, et al.
Published: (2025)
by: Hariharan, Pavithra, et al.
Published: (2025)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
The Difference Between "Replicable" and "Not replicable" is not Itself Scientifically Replicable
by: Devezer, Berna, et al.
Published: (2026)
by: Devezer, Berna, et al.
Published: (2026)
Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)
by: Wu, Yinxiang, et al.
Published: (2025)
Testing for the Network Small-World Property
by: Lovekar, Kartik, et al.
Published: (2021)
by: Lovekar, Kartik, et al.
Published: (2021)
Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)
by: Saduakhas, Damilya, et al.
Published: (2025)
Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)
by: Liu, Yufeng, et al.
Published: (2026)
Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)
by: Florez, Mauro, et al.
Published: (2024)
Two Sample Test for Eigendecompositions of Functional Data
by: de la Garza, Angel Garcia, et al.
Published: (2026)
by: de la Garza, Angel Garcia, et al.
Published: (2026)
Identifying Causes of Test Unfairness: Manipulability and Separability
by: Suk, Youmi, et al.
Published: (2026)
by: Suk, Youmi, et al.
Published: (2026)
Correlation Improves Group Testing: Modeling Concentration-Dependent Test Errors
by: Wan, Jiayue, et al.
Published: (2021)
by: Wan, Jiayue, et al.
Published: (2021)
A Utility Score Framework for Dose Optimization Studies with Binary Efficacy-Safety Endpoints: Sample Size Determination and Bias Characterization
by: Gu, Xuemin, et al.
Published: (2026)
by: Gu, Xuemin, et al.
Published: (2026)
Similar Items
-
The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019) -
Independence Testing for Temporal Data
by: Shen, Cencheng, et al.
Published: (2019) -
Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017) -
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
by: Shen, Cencheng, et al.
Published: (2020) -
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
by: Leiner, James, et al.
Published: (2023)