Ridge partial correlation screening for ultrahigh-dimensional data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Run, Nguyen, An, Dutta, Somak, Roy, Vivekananda |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian iterative screening in ultra-high dimensional linear regressions
by: Wang, Run, et al.
Published: (2021)
by: Wang, Run, et al.
Published: (2021)
The data augmentation algorithm
by: Roy, Vivekananda, et al.
Published: (2024)
by: Roy, Vivekananda, et al.
Published: (2024)
High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression
by: Zhao, Yihan, et al.
Published: (2025)
by: Zhao, Yihan, et al.
Published: (2025)
Label-shift robust federated feature screening for high-dimensional classification
by: Qin, Qi, et al.
Published: (2025)
by: Qin, Qi, et al.
Published: (2025)
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)
by: Kim, Seok-Jin, et al.
Published: (2025)
On the Computational Complexity of Private High-dimensional Model Selection
by: Roy, Saptarshi, et al.
Published: (2023)
by: Roy, Saptarshi, et al.
Published: (2023)
Generalized Bayesian deep reinforcement learning
by: Roy, Shreya Sinha, et al.
Published: (2024)
by: Roy, Shreya Sinha, et al.
Published: (2024)
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
by: Roy, Sarbojit, et al.
Published: (2024)
by: Roy, Sarbojit, et al.
Published: (2024)
Ridge Regularization: an Essential Concept in Data Science
by: Hastie, Trevor
Published: (2020)
by: Hastie, Trevor
Published: (2020)
Achieving Fairness with a Simple Ridge Penalty
by: Scutari, Marco, et al.
Published: (2021)
by: Scutari, Marco, et al.
Published: (2021)
Mixture of partially linear experts
by: Hwang, Yeongsan, et al.
Published: (2024)
by: Hwang, Yeongsan, et al.
Published: (2024)
Action Shapley: A Training Data Selection Metric for World Model in Reinforcement Learning
by: Ghosh, Rajat, et al.
Published: (2026)
by: Ghosh, Rajat, et al.
Published: (2026)
Cluster weighted models with multivariate skewed distributions for functional data
by: Anton, Cristina, et al.
Published: (2025)
by: Anton, Cristina, et al.
Published: (2025)
Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)
by: Young, Elliot H., et al.
Published: (2025)
Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
by: Choudhury, Jyotishka Ray, et al.
Published: (2023)
by: Choudhury, Jyotishka Ray, et al.
Published: (2023)
A geometric approach to informed MCMC sampling
by: Roy, Vivekananda
Published: (2024)
by: Roy, Vivekananda
Published: (2024)
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
by: Zhang, Yikun, et al.
Published: (2021)
by: Zhang, Yikun, et al.
Published: (2021)
Your copula is a classifier in disguise: classification-based copula density estimation
by: Huk, David, et al.
Published: (2024)
by: Huk, David, 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)
by: Gauran, Iris Ivy, et al.
Published: (2024)
Assessing the overall and partial causal well-specification of nonlinear additive noise models
by: Schultheiss, Christoph, et al.
Published: (2023)
by: Schultheiss, Christoph, et al.
Published: (2023)
High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates
by: Weberpals, Janick, et al.
Published: (2024)
by: Weberpals, Janick, et al.
Published: (2024)
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks
by: Richards, Jordan, et al.
Published: (2022)
by: Richards, Jordan, et al.
Published: (2022)
Inference on covariance structure in high-dimensional multi-view data
by: Mauri, Lorenzo, et al.
Published: (2025)
by: Mauri, Lorenzo, et al.
Published: (2025)
Necessary and sufficient conditions for posterior propriety for generalized linear mixed models
by: Rao, Yalin, et al.
Published: (2023)
by: Rao, Yalin, et al.
Published: (2023)
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
by: Zhao, Huali, et al.
Published: (2024)
by: Zhao, Huali, et al.
Published: (2024)
The two filter formula reconsidered: Smoothing in partially observed Gauss--Markov models without information parametrization
by: Tronarp, Filip
Published: (2025)
by: Tronarp, Filip
Published: (2025)
Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
by: Ascolani, Filippo, et al.
Published: (2025)
by: Ascolani, Filippo, et al.
Published: (2025)
Towards a pretrained deep learning estimator of the Linfoot informational correlation
by: Berg, Stéphanie M. van den, et al.
Published: (2025)
by: Berg, Stéphanie M. van den, et al.
Published: (2025)
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
by: Zhao, Boxin, et al.
Published: (2021)
by: Zhao, Boxin, et al.
Published: (2021)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
by: Kim, Seok-Jin
Published: (2026)
by: Kim, Seok-Jin
Published: (2026)
Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution
by: Gao, Zhaoxing, et al.
Published: (2024)
by: Gao, Zhaoxing, et al.
Published: (2024)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
High-dimensional Nonparametric Contextual Bandit Problem
by: Iwazaki, Shogo, et al.
Published: (2025)
by: Iwazaki, Shogo, et al.
Published: (2025)
Reducing the dimensionality and granularity in hierarchical categorical variables
by: Wilsens, Paul, et al.
Published: (2024)
by: Wilsens, Paul, et al.
Published: (2024)
Spectral goodness-of-fit tests for complete and partial network data
by: Lubold, Shane, et al.
Published: (2021)
by: Lubold, Shane, et al.
Published: (2021)
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
by: Zgodic, Anja, et al.
Published: (2023)
by: Zgodic, Anja, et al.
Published: (2023)
Tucker Diffusion Model for High-dimensional Tensor Generation
by: Guo, Jianhua, et al.
Published: (2026)
by: Guo, Jianhua, et al.
Published: (2026)
WISER: Segmenting watermarked region - an epidemic change-point perspective
by: Bonnerjee, Soham, et al.
Published: (2025)
by: Bonnerjee, Soham, et al.
Published: (2025)
The Bayesian Reflex: Online Learning as the Autonomic Nervous System of Modern and Future AI
by: Bhattacharya, Durba, et al.
Published: (2026)
by: Bhattacharya, Durba, et al.
Published: (2026)
Modeling high dimensional point clouds with the spherical cluster model
by: Cazals, Frédéric, et al.
Published: (2025)
by: Cazals, Frédéric, et al.
Published: (2025)
Similar Items
-
Bayesian iterative screening in ultra-high dimensional linear regressions
by: Wang, Run, et al.
Published: (2021) -
The data augmentation algorithm
by: Roy, Vivekananda, et al.
Published: (2024) -
High-dimensional Asymptotics of Generalization Performance in Continual Ridge Regression
by: Zhao, Yihan, et al.
Published: (2025) -
Label-shift robust federated feature screening for high-dimensional classification
by: Qin, Qi, et al.
Published: (2025) -
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)