Saved in:
| Main Authors: | Zhang, Boyang, Nyquist, Sarah, Jones, Andrew, Engelhardt, Barbara E., Li, Didong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.03106 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
by: Zhang, Eric, et al.
Published: (2025)
by: Zhang, Eric, et al.
Published: (2025)
Contrastive Dimension Reduction: A Systematic Review
by: Hawke, Sam, et al.
Published: (2025)
by: Hawke, Sam, et al.
Published: (2025)
Bayesian Spatiotemporal Wombling
by: Halder, Aritra, et al.
Published: (2024)
by: Halder, Aritra, et al.
Published: (2024)
Besag-Clifford e-values for unnormalized testing
by: Dombowsky, Alexander, et al.
Published: (2026)
by: Dombowsky, Alexander, et al.
Published: (2026)
Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
by: Jetsupphasuk, Michael, et al.
Published: (2025)
by: Jetsupphasuk, Michael, et al.
Published: (2025)
Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)
by: Bryan, Jordan, et al.
Published: (2024)
Lower Ricci Curvature for Efficient Community Detection
by: Park, Yun Jin, et al.
Published: (2024)
by: Park, Yun Jin, et al.
Published: (2024)
Difference-in-differences with stochastic policy shifts of a continuous treatment
by: Jetsupphasuk, Michael, et al.
Published: (2025)
by: Jetsupphasuk, Michael, et al.
Published: (2025)
On Statistical Inference for Rates of Change in Spatial Processes over Riemannian Manifolds
by: Li, Didong, et al.
Published: (2026)
by: Li, Didong, et al.
Published: (2026)
Piece-wise linear isotonic regression
by: Kuosmanen, Timo, et al.
Published: (2026)
by: Kuosmanen, Timo, et al.
Published: (2026)
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
Interval-censored linear quantile regression
by: Choi, Taehwa, et al.
Published: (2024)
by: Choi, Taehwa, et al.
Published: (2024)
Adapting to noise tails in private linear regression
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
Shrinkage linear regression for symbolic interval-valued variables
by: Rodriguez, Oldemar
Published: (2024)
by: Rodriguez, Oldemar
Published: (2024)
Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)
by: Huang, Lei, et al.
Published: (2026)
Improved LARS algorithm for adaptive LASSO in the linear regression model
by: Kayanan, Manickavasagar, et al.
Published: (2024)
by: Kayanan, Manickavasagar, et al.
Published: (2024)
Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)
by: Cao, Xuan, et al.
Published: (2025)
Bayesian iterative screening in ultra-high dimensional linear regressions
by: Wang, Run, et al.
Published: (2021)
by: Wang, Run, et al.
Published: (2021)
Valid F-screening in linear regression
by: McGough, Olivia, et al.
Published: (2025)
by: McGough, Olivia, et al.
Published: (2025)
On function-on-function linear quantile regression
by: Mutis, Muge, et al.
Published: (2025)
by: Mutis, Muge, et al.
Published: (2025)
Augmented balancing weights as linear regression
by: Bruns-Smith, David, et al.
Published: (2023)
by: Bruns-Smith, David, et al.
Published: (2023)
Potential weights and implicit causal designs in linear regression
by: Chen, Jiafeng
Published: (2024)
by: Chen, Jiafeng
Published: (2024)
Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
by: Kim, Youngseok, et al.
Published: (2022)
by: Kim, Youngseok, et al.
Published: (2022)
Variable selection in balance regression with applications to microbiome compositional data
by: Ma, Jing, et al.
Published: (2023)
by: Ma, Jing, et al.
Published: (2023)
Shape-restricted transfer learning analysis for generalized linear regression model
by: Li, Pengfei, et al.
Published: (2024)
by: Li, Pengfei, et al.
Published: (2024)
Penalized function-on-function linear quantile regression
by: Beyaztas, Ufuk, et al.
Published: (2025)
by: Beyaztas, Ufuk, et al.
Published: (2025)
Detection and inference of changes in high-dimensional linear regression with non-sparse structures
by: Cho, Haeran, et al.
Published: (2024)
by: Cho, Haeran, et al.
Published: (2024)
Gaussian Processes for Time Series with Lead-Lag Effects with applications to biology data
by: Mu, Wancen, et al.
Published: (2024)
by: Mu, Wancen, et al.
Published: (2024)
Semi-parametric least-area linear-circular regression through Möbius transformation
by: Biswas, Surojit, et al.
Published: (2024)
by: Biswas, Surojit, et al.
Published: (2024)
Statistical inference for partially shape-constrained function-on-scalar linear regression models
by: Han, Kyunghee, et al.
Published: (2024)
by: Han, Kyunghee, et al.
Published: (2024)
Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
by: Young, Elliot H., et al.
Published: (2024)
by: Young, Elliot H., et al.
Published: (2024)
Estimation and inference of high-dimensional partially linear regression models with latent factors
by: Shi, Yanmei, et al.
Published: (2025)
by: Shi, Yanmei, et al.
Published: (2025)
Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
by: Otto, Arnoldus F., et al.
Published: (2025)
by: Otto, Arnoldus F., et al.
Published: (2025)
Testing relevant difference in high-dimensional linear regression with applications to detect transferability
by: Liu, Xu
Published: (2025)
by: Liu, Xu
Published: (2025)
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)
by: Luan, Yuanyuan, et al.
Published: (2023)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Renewable estimation in linear expectile regression models with streaming data sets
by: Cao, Wei, et al.
Published: (2026)
by: Cao, Wei, et al.
Published: (2026)
Valid and efficient possibilistic structure learning in Gaussian linear regression
by: Martin, Ryan, et al.
Published: (2025)
by: Martin, Ryan, et al.
Published: (2025)
Similar Items
-
Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
by: Zhang, Eric, et al.
Published: (2025) -
Contrastive Dimension Reduction: A Systematic Review
by: Hawke, Sam, et al.
Published: (2025) -
Bayesian Spatiotemporal Wombling
by: Halder, Aritra, et al.
Published: (2024) -
Besag-Clifford e-values for unnormalized testing
by: Dombowsky, Alexander, et al.
Published: (2026) -
Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
by: Jetsupphasuk, Michael, et al.
Published: (2025)