Gaussian Rank Verification
Fuente:
arXiv
Saved in:
| Main Authors: | Goldwasser, Jeremy, Fithian, Will, Hooker, Giles |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Statistical Significance of Feature Importance Rankings
by: Goldwasser, Jeremy, et al.
Published: (2024)
by: Goldwasser, Jeremy, et al.
Published: (2024)
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
by: Goldwasser, Jeremy, et al.
Published: (2025)
by: Goldwasser, Jeremy, et al.
Published: (2025)
Stabilizing Estimates of Shapley Values with Control Variates
by: Goldwasser, Jeremy, et al.
Published: (2023)
by: Goldwasser, Jeremy, et al.
Published: (2023)
An Understanding of Principal Differential Analysis
by: Gunning, Edward, et al.
Published: (2024)
by: Gunning, Edward, et al.
Published: (2024)
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)
by: Zhou, Yunzhe, et al.
Published: (2024)
Targeted Learning for Variable Importance
by: Wang, Xiaohan, et al.
Published: (2024)
by: Wang, Xiaohan, et al.
Published: (2024)
Controlling the false discovery rate under a non-parametric graphical dependence model
by: Nguyen, Drew T., et al.
Published: (2025)
by: Nguyen, Drew T., et al.
Published: (2025)
Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022)
by: Zrnic, Tijana, et al.
Published: (2022)
CLaRe: Compact near-lossless Latent Representations of High-Dimensional Object Data
by: Zohner, Emma, et al.
Published: (2025)
by: Zohner, Emma, et al.
Published: (2025)
Statistical Inference for Gradient Boosting Regression
by: Fang, Haimo, et al.
Published: (2025)
by: Fang, Haimo, et al.
Published: (2025)
A Flexible Defense Against the Winner's Curse
by: Zrnic, Tijana, et al.
Published: (2024)
by: Zrnic, Tijana, et al.
Published: (2024)
Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation
by: Tan, Kevin, et al.
Published: (2024)
by: Tan, Kevin, et al.
Published: (2024)
Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio
by: Spector, Asher, et al.
Published: (2022)
by: Spector, Asher, et al.
Published: (2022)
Estimating the False Discovery Rate of Variable Selection
by: Luo, Yixiang, et al.
Published: (2024)
by: Luo, Yixiang, et al.
Published: (2024)
Improving knockoffs with conditional calibration
by: Luo, Yixiang, et al.
Published: (2022)
by: Luo, Yixiang, et al.
Published: (2022)
Large-Scale Low-Rank Gaussian Process Prediction with Support Points
by: Song, Yan, et al.
Published: (2022)
by: Song, Yan, et al.
Published: (2022)
Ranking with Confidence: A Probabilistic Framework for Deterministic Ranking Methods
by: Zhang, Shunpu
Published: (2026)
by: Zhang, Shunpu
Published: (2026)
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)
by: Mukherjee, Anish, et al.
Published: (2024)
Generalized Rank Regression
by: Tu, Jiyuan, et al.
Published: (2026)
by: Tu, Jiyuan, et al.
Published: (2026)
Ranked-choice conjoint experiments
by: Robinson, Thomas S., et al.
Published: (2026)
by: Robinson, Thomas S., et al.
Published: (2026)
Deep Ranking with Heterogeneous Effects
by: Luo, Yuanhang, et al.
Published: (2026)
by: Luo, Yuanhang, et al.
Published: (2026)
Ranked Set Sampling in Survival Analysis
by: Awan, Nabil, et al.
Published: (2025)
by: Awan, Nabil, et al.
Published: (2025)
Low-Rank Graphon Learning for Networks
by: Fan, Xinyuan, et al.
Published: (2025)
by: Fan, Xinyuan, et al.
Published: (2025)
PageRank and the Bradley-Terry model
by: Selby, David Antony
Published: (2024)
by: Selby, David Antony
Published: (2024)
Credible Distributions of Overall Ranking of Entities
by: Chatterjee, Snigdhansu, et al.
Published: (2024)
by: Chatterjee, Snigdhansu, et al.
Published: (2024)
Rank Intraclass Correlation for Clustered Data
by: Tu, Shengxin, et al.
Published: (2023)
by: Tu, Shengxin, et al.
Published: (2023)
Bayesian Rank-Clustering
by: Pearce, Michael, et al.
Published: (2024)
by: Pearce, Michael, et al.
Published: (2024)
Between- and Within-Cluster Spearman Rank Correlations
by: Tu, Shengxin, et al.
Published: (2024)
by: Tu, Shengxin, et al.
Published: (2024)
A Rank-Based Sequential Test of Independence
by: Henzi, Alexander, et al.
Published: (2023)
by: Henzi, Alexander, et al.
Published: (2023)
Joint Learning from Heterogeneous Rank Data
by: Hermes, Sjoerd, et al.
Published: (2024)
by: Hermes, Sjoerd, et al.
Published: (2024)
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
by: Beisson, Rémi, et al.
Published: (2024)
by: Beisson, Rémi, et al.
Published: (2024)
Asymptotic Inference for Rank Correlations
by: Pohle, Marc-Oliver, et al.
Published: (2025)
by: Pohle, Marc-Oliver, et al.
Published: (2025)
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
by: Zhou, Ruihan, et al.
Published: (2024)
by: Zhou, Ruihan, et al.
Published: (2024)
A Low-Rank Bayesian Approach for Geoadditive Modeling
by: Sumalinab, Bryan, et al.
Published: (2024)
by: Sumalinab, Bryan, et al.
Published: (2024)
Rank-Transformed Dissimilarity Profiles for High-Dimensional Classification
by: Mo, Xiangbo, et al.
Published: (2023)
by: Mo, Xiangbo, et al.
Published: (2023)
KenCoh: A Ranked-Based Canonical Coherence
by: Talento, Mara Sherlin D., et al.
Published: (2024)
by: Talento, Mara Sherlin D., et al.
Published: (2024)
Preference-based Centrality and Ranking in General Metric Spaces
by: Lyu, Lingfeng, et al.
Published: (2026)
by: Lyu, Lingfeng, et al.
Published: (2026)
Sparse Rank Regression for Restricted-Access Economic Data
by: Zhang, Wen, et al.
Published: (2026)
by: Zhang, Wen, et al.
Published: (2026)
Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
by: Yu, Shibo, et al.
Published: (2026)
by: Yu, Shibo, et al.
Published: (2026)
Conditional Rank-Rank Regression via Deep Conditional Transformation Models
by: Wang, Xiaoyi, et al.
Published: (2026)
by: Wang, Xiaoyi, et al.
Published: (2026)
Similar Items
-
Statistical Significance of Feature Importance Rankings
by: Goldwasser, Jeremy, et al.
Published: (2024) -
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
by: Goldwasser, Jeremy, et al.
Published: (2025) -
Stabilizing Estimates of Shapley Values with Control Variates
by: Goldwasser, Jeremy, et al.
Published: (2023) -
An Understanding of Principal Differential Analysis
by: Gunning, Edward, et al.
Published: (2024) -
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)