Image de couverture de livre

Assessing Monotone Dependence: Area Under the Curve Meets Rank Correlation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Walz, Eva-Maria, Eberl, Andreas, Gneiting, Tilmann
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Regression Diagnostics meets Forecast Evaluation: Conditional Calibration, Reliability Diagrams, and Coefficient of Determination
par: Gneiting, Tilmann, et autres
Publié: (2021)

Challenges in Variable Importance Ranking Under Correlation
par: Liang, Annie, et autres
Publié: (2024)

Defining Dispersion: A Fundamental Order for Univariate Discrete Distributions
par: Eberl, Andreas, et autres
Publié: (2024)

Physics-based vs. data-driven 24-hour probabilistic forecasts of precipitation for northern tropical Africa
par: Walz, Eva-Maria, et autres
Publié: (2024)

Measures and Models of Non-Monotonic Dependence
par: McNeil, Alexander J., et autres
Publié: (2025)

Monotone Curve Estimation via Convex Duality
par: Lim, Tongseok, et autres
Publié: (2025)

A Rank-Based Test for Comparing Multiple Fields' Yield Quality Distributions Under Spatial Dependence
par: Mandap, Marco
Publié: (2024)

An easily verifiable dispersion order for discrete distributions
par: Eberl, Andreas, et autres
Publié: (2025)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
par: Sun, Jiren, et autres
Publié: (2024)

Assessing Sensitivity to IV Exclusion and Exogeneity without First Stage Monotonicity
par: Diegert, Paul, et autres
Publié: (2026)

Rank Intraclass Correlation for Clustered Data
par: Tu, Shengxin, et autres
Publié: (2023)

Asymptotic Inference for Rank Correlations
par: Pohle, Marc-Oliver, et autres
Publié: (2025)

Sensitivity Analysis for Instrumental Variables Under Joint Relaxations of Monotonicity and Independence
par: Picchetti, Pedro
Publié: (2026)

Between- and Within-Cluster Spearman Rank Correlations
par: Tu, Shengxin, et autres
Publié: (2024)

Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
par: Donnat, Claire, et autres
Publié: (2024)

Monotone Ecological Inference
par: Elzayn, Hadi, et autres
Publié: (2025)

On the epsilon-delta Structure Underlying Chatterjee's Rank Correlation
par: Sato, Zeusu
Publié: (2025)

Capturing Cumulative Disease Burden in Chronic Kidney Disease Outcome Trials: Area Under the Curve and Restricted Mean Time in Favor of Treatment Beyond Conventional Time-to-First Analysis
par: Sun, Jiren, et autres
Publié: (2026)

Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
par: Sewak, Ainesh, et autres
Publié: (2025)

Enhanced Rank-Based Correlation Estimation Using Smoothed Wilcoxon Rank Scores
par: Tasdan, Feridun, et autres
Publié: (2025)

Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
par: Bao, Han, et autres
Publié: (2025)

Measuring Feature-Label Dependence Using Projection Correlation Statistic
par: Liu, Yixiao, et autres
Publié: (2025)

Generalized Correlation Regression for Disentangling Dependence in Clustered Data
par: Wang, Yibo, et autres
Publié: (2025)

A New Multiple Correlation Coefficient without Specifying the Dependent Variable
par: Yang, Kai, et autres
Publié: (2025)

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
par: Lee, Youjin, et autres
Publié: (2017)

Predictive Power Analysis of Multiple Test Procedures Under Arbitrary Dependence
par: Karabatsos, George
Publié: (2026)

Bayesian Nonparametric Sensitivity Analysis of Multiple Test Procedures Under Dependence
par: Karabatsos, George
Publié: (2024)

GLS under Monotone Heteroskedasticity
par: Arai, Yoichi, et autres
Publié: (2022)

Decomposition with Monotone B-splines: Fitting and Testing
par: Wang, Lijun, et autres
Publié: (2024)

Weak Signal Inclusion Under Dependence and Applications in Genome-wide Association Study
par: Jeng, X. Jessie, et autres
Publié: (2022)

Correlated Bayesian Additive Regression Trees with Gaussian Process for Regression Analysis of Dependent Data
par: a, Xuetao Lu, et autres
Publié: (2023)

Probabilistic measures afford fair comparisons of AIWP and NWP model output
par: Gneiting, Tilmann, et autres
Publié: (2025)

Monotone Missing Data: A Blessing and a Curse
par: Tikka, Santtu, et autres
Publié: (2024)

Block-Additive Gaussian Processes under Monotonicity Constraints
par: Deronzier, M., et autres
Publié: (2024)

High Dimensional Logistic Regression Under Network Dependence
par: Mukherjee, Somabha, et autres
Publié: (2021)

Multiple Testing of Partial Conjunction Hypotheses for Assessing Replicability Across Dependent Studies
par: Dey, Monitirtha, et autres
Publié: (2025)

Model-free Feature Screening via Revised Chatterjee's Rank Correlation for Ultra-high Dimensional Censored Data
par: Chen, Shuya, et autres
Publié: (2026)

Detecting Distributional Differences in Spatially Correlated Multivariate Data via Kernel-Smoothed Rank-Based Empirical Copula Tests
par: Mandap, Marco
Publié: (2026)

Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric
par: Peeters, Carel F. W.
Publié: (2019)

Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
par: Moreno, Alvaro Alexander Burbano, et autres
Publié: (2024)