The generalized underlap coefficient with an application in clustering
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Zhaoxi, Inacio, Vanda, Wade, Sara |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The underlap coefficient as a measure of a biomarker's discriminatory ability
por: Zhang, Zhaoxi, et al.
Publicado: (2025)
por: Zhang, Zhaoxi, et al.
Publicado: (2025)
Variational Bayesian Bow tie Neural Networks with Shrinkage
por: Sheinkman, Alisa, et al.
Publicado: (2024)
por: Sheinkman, Alisa, et al.
Publicado: (2024)
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
por: Chen, Hanxiao, et al.
Publicado: (2026)
por: Chen, Hanxiao, et al.
Publicado: (2026)
Classification by sparse generalized additive models
por: Abramovich, Felix
Publicado: (2022)
por: Abramovich, Felix
Publicado: (2022)
Corrected generalized cross-validation for finite ensembles of penalized estimators
por: Bellec, Pierre C., et al.
Publicado: (2023)
por: Bellec, Pierre C., et al.
Publicado: (2023)
A general framework for inference on algorithm-agnostic variable importance
por: Williamson, Brian D., et al.
Publicado: (2020)
por: Williamson, Brian D., et al.
Publicado: (2020)
Model-based causal feature selection for general response types
por: Kook, Lucas, et al.
Publicado: (2023)
por: Kook, Lucas, et al.
Publicado: (2023)
Selective inference using randomized group lasso estimators for general models
por: Huang, Yiling, et al.
Publicado: (2023)
por: Huang, Yiling, et al.
Publicado: (2023)
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
por: Jin, Ying, et al.
Publicado: (2022)
por: Jin, Ying, et al.
Publicado: (2022)
A renormalization-group inspired lattice-based framework for piecewise generalized linear models
por: Chang, Joshua C.
Publicado: (2026)
por: Chang, Joshua C.
Publicado: (2026)
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data
por: Jiang, Cong, et al.
Publicado: (2023)
por: Jiang, Cong, et al.
Publicado: (2023)
Uncertainty quantification for iterative algorithms in linear models with application to early stopping
por: Bellec, Pierre C., et al.
Publicado: (2024)
por: Bellec, Pierre C., et al.
Publicado: (2024)
Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
por: Zhang, Zhixian, et al.
Publicado: (2026)
por: Zhang, Zhixian, et al.
Publicado: (2026)
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
por: Ma, Li, et al.
Publicado: (2024)
por: Ma, Li, et al.
Publicado: (2024)
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
por: Zhang, Anru, et al.
Publicado: (2018)
por: Zhang, Anru, et al.
Publicado: (2018)
Causal inference through multi-stage learning and doubly robust deep neural networks
por: Zhang, Yuqian, et al.
Publicado: (2024)
por: Zhang, Yuqian, et al.
Publicado: (2024)
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
por: Zhang, Tianyu, et al.
Publicado: (2023)
por: Zhang, Tianyu, et al.
Publicado: (2023)
Minimax-optimal trust-aware multi-armed bandits
por: Cai, Changxiao, et al.
Publicado: (2024)
por: Cai, Changxiao, et al.
Publicado: (2024)
Model-agnostic information transfer and fusion for classification with label noise
por: Guojun, Zhu, et al.
Publicado: (2026)
por: Guojun, Zhu, et al.
Publicado: (2026)
Jointly Modeling and Clustering Tensors in High Dimensions
por: Cai, Biao, et al.
Publicado: (2021)
por: Cai, Biao, et al.
Publicado: (2021)
Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
por: Zhang, Tianyu, et al.
Publicado: (2024)
por: Zhang, Tianyu, et al.
Publicado: (2024)
Adaptive Split Balancing for Optimal Random Forest
por: Zhang, Yuqian, et al.
Publicado: (2024)
por: Zhang, Yuqian, et al.
Publicado: (2024)
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
por: Zhang, Yuqian, et al.
Publicado: (2021)
por: Zhang, Yuqian, et al.
Publicado: (2021)
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data
por: Zhang, Yuqian, et al.
Publicado: (2023)
por: Zhang, Yuqian, et al.
Publicado: (2023)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
por: Shen, Yinan, et al.
Publicado: (2026)
por: Shen, Yinan, et al.
Publicado: (2026)
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
por: Brown, Benjamin, et al.
Publicado: (2022)
por: Brown, Benjamin, et al.
Publicado: (2022)
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
por: Hong, Mao, et al.
Publicado: (2024)
por: Hong, Mao, et al.
Publicado: (2024)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
por: Bai, Ruiqi, et al.
Publicado: (2024)
por: Bai, Ruiqi, et al.
Publicado: (2024)
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis
por: Zhang, Yonghan, et al.
Publicado: (2025)
por: Zhang, Yonghan, et al.
Publicado: (2025)
Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
por: Mahajan, Jaideep, et al.
Publicado: (2025)
por: Mahajan, Jaideep, et al.
Publicado: (2025)
Higher-order accurate two-sample network inference and network hashing
por: Shao, Meijia, et al.
Publicado: (2022)
por: Shao, Meijia, et al.
Publicado: (2022)
Transfer Learning for Causal Effect Estimation
por: Wei, Song, et al.
Publicado: (2023)
por: Wei, Song, et al.
Publicado: (2023)
Asymptotic distribution of the global clustering coefficient in a random annulus graph
por: Yuan, Mingao
Publicado: (2025)
por: Yuan, Mingao
Publicado: (2025)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
por: Kim, Seok-Jin
Publicado: (2026)
por: Kim, Seok-Jin
Publicado: (2026)
Scalable Kernel-Based Distances for Statistical Inference and Integration
por: Naslidnyk, Masha
Publicado: (2026)
por: Naslidnyk, Masha
Publicado: (2026)
Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
por: Jain, Saksham, et al.
Publicado: (2026)
por: Jain, Saksham, et al.
Publicado: (2026)
Conformal Prediction with Time-Series Data via Sequential Conformalized Density Regions
por: Sampson, M., et al.
Publicado: (2026)
por: Sampson, M., et al.
Publicado: (2026)
Early-stopped aggregation: Adaptive inference with computational efficiency
por: Ohn, Ilsang, et al.
Publicado: (2026)
por: Ohn, Ilsang, et al.
Publicado: (2026)
Identifying Causal Effects Using a Single Proxy Variable
por: Vollmer, Silvan, et al.
Publicado: (2026)
por: Vollmer, Silvan, et al.
Publicado: (2026)
Conditional Predictive Inference for General Structured Data with Group Symmetries
por: Shen, Yichen, et al.
Publicado: (2026)
por: Shen, Yichen, et al.
Publicado: (2026)
Ejemplares similares
-
The underlap coefficient as a measure of a biomarker's discriminatory ability
por: Zhang, Zhaoxi, et al.
Publicado: (2025) -
Variational Bayesian Bow tie Neural Networks with Shrinkage
por: Sheinkman, Alisa, et al.
Publicado: (2024) -
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
por: Chen, Hanxiao, et al.
Publicado: (2026) -
Classification by sparse generalized additive models
por: Abramovich, Felix
Publicado: (2022) -
Corrected generalized cross-validation for finite ensembles of penalized estimators
por: Bellec, Pierre C., et al.
Publicado: (2023)