High Dimensional Logistic Regression Under Network Dependence
Fuente:
arXiv
Saved in:
| Main Authors: | Mukherjee, Somabha, Niu, Ziang, Halder, Sagnik, Bhattacharya, Bhaswar B., Michailidis, George |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
Robust Estimation for Dependent Binary Network Data
by: Liu, Tianyu, et al.
Published: (2025)
by: Liu, Tianyu, et al.
Published: (2025)
Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
by: Ashley, et al.
Published: (2024)
by: Ashley, et al.
Published: (2024)
Moderate Deviation and Berry-Esseen Bounds in the $p$-Spin Curie-Weiss Model
by: Mukherjee, Somabha, et al.
Published: (2024)
by: Mukherjee, Somabha, et al.
Published: (2024)
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
by: Liu, Tianyu, et al.
Published: (2023)
by: Liu, Tianyu, et al.
Published: (2023)
Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)
by: Chatterjee, Anirban, et al.
Published: (2023)
A Ball Divergence Based Measure For Conditional Independence Testing
by: Banerjee, Bilol, et al.
Published: (2024)
by: Banerjee, Bilol, et al.
Published: (2024)
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)
by: Ojha, Abhishek, et al.
Published: (2024)
Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)
by: Aguilar, Javier Enrique, et al.
Published: (2025)
Fast localization of anomalous patches in spatial data under dependence
by: Bonnerjee, Soham, et al.
Published: (2026)
by: Bonnerjee, Soham, et al.
Published: (2026)
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph $\boldsymbolβ$-Model
by: Nandy, Sagnik, et al.
Published: (2023)
by: Nandy, Sagnik, et al.
Published: (2023)
A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Assumption-lean weak limits and tests for two-stage adaptive experiments
by: Niu, Ziang, et al.
Published: (2025)
by: Niu, Ziang, et al.
Published: (2025)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
A Shrinkage Likelihood Ratio Test for High-Dimensional Subgroup Analysis with a Logistic-Normal Mixture Model
by: Takeishi, Shota
Published: (2023)
by: Takeishi, Shota
Published: (2023)
Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)
by: Parzer, Roman, et al.
Published: (2023)
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
by: Garg, Anvit, et al.
Published: (2025)
by: Garg, Anvit, et al.
Published: (2025)
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
by: Bo, Shi, et al.
Published: (2024)
by: Bo, Shi, et al.
Published: (2024)
Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)
by: Burman, Anik, et al.
Published: (2026)
High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)
by: Roach, Lyndsay, et al.
Published: (2025)
Multimodal data integration and cross-modal querying via orchestrated approximate message passing
by: Nandy, Sagnik, et al.
Published: (2024)
by: Nandy, Sagnik, et al.
Published: (2024)
Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, et al.
Published: (2025)
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)
by: Tan, Falong, et al.
Published: (2024)
Prevalence estimation in infectious diseases with imperfect tests: A comparison of Frequentist and Bayesian Logistic Regression methods with misclassification correction
by: Alvarez, Jorge Mario Estrada, et al.
Published: (2025)
by: Alvarez, Jorge Mario Estrada, et al.
Published: (2025)
Interaction Order Estimation in Tensor Curie-Weiss Models
by: Mukherjee, Somabha
Published: (2024)
by: Mukherjee, Somabha
Published: (2024)
Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
by: You, Hojun, et al.
Published: (2022)
by: You, Hojun, et al.
Published: (2022)
Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
by: Ramezani, Niloofar, et al.
Published: (2025)
by: Ramezani, Niloofar, et al.
Published: (2025)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
Bayesian High-dimensional Linear Regression with Sparse Projection-posterior
by: Pal, Samhita, et al.
Published: (2024)
by: Pal, Samhita, et al.
Published: (2024)
Least Squares Inference for Data with Network Dependency
by: Lei, Jing, et al.
Published: (2024)
by: Lei, Jing, et al.
Published: (2024)
Efficient High-Dimensional Conditional Independence Testing
by: Banerjee, Bilol
Published: (2025)
by: Banerjee, Bilol
Published: (2025)
Robust Max Statistics for High-Dimensional Inference
by: Liu, Mingshuo, et al.
Published: (2024)
by: Liu, Mingshuo, et al.
Published: (2024)
Testing Separability of High-Dimensional Covariance Matrices
by: Sung, Bongjung, et al.
Published: (2025)
by: Sung, Bongjung, et al.
Published: (2025)
Characterizing Finite-Dimensional Posterior Marginals in High-Dimensional GLMs via Leave-One-Out
by: Sáenz, Manuel, et al.
Published: (2025)
by: Sáenz, Manuel, et al.
Published: (2025)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Profiled Transfer Learning for High Dimensional Linear Model
by: Lin, Ziqian, et al.
Published: (2024)
by: Lin, Ziqian, et al.
Published: (2024)
Similar Items
-
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024) -
Robust Estimation for Dependent Binary Network Data
by: Liu, Tianyu, et al.
Published: (2025) -
Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
by: Ashley, et al.
Published: (2024) -
Moderate Deviation and Berry-Esseen Bounds in the $p$-Spin Curie-Weiss Model
by: Mukherjee, Somabha, et al.
Published: (2024) -
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
by: Liu, Tianyu, et al.
Published: (2023)