Copertina

Impact Range Assessment (IRA): An Interpretable Sensitivity Measure for Regression Modelling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	You, Jihao, Tulpan, Dan, Diao, Jiaojiao, Ellis, Jennifer L.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physics-Guided Inverse Regression for Crop Quality Assessment
di: Shulman, David, et al.
Pubblicazione: (2024)

Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector
di: Liao, Sijia, et al.
Pubblicazione: (2025)

Bayesian Latent Class Regression with Interpretable Binary Profiles
di: Zhou, Yuren, et al.
Pubblicazione: (2025)

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
di: Katz, Harrison, et al.
Pubblicazione: (2025)

Causal Interpretation of Regressions With Ranks
di: Lei, Lihua
Pubblicazione: (2024)

Adaptive Test for High Dimensional Quantile Regression
di: Zhao, Ping, et al.
Pubblicazione: (2025)

A new approach to reliability assessment based on Exploratory factor analysis
di: Diao, Shibo
Pubblicazione: (2025)

Prediction-Powered Linear Regression: A Balance Between Interpretation and Prediction
di: Xu, Fuzhi, et al.
Pubblicazione: (2026)

Nonparametric Regression and Error Covariance Function Estimation -- Beyond Short-Range Dependence
di: Liu, Sisheng, et al.
Pubblicazione: (2025)

Understanding Measurement Precision from a Regression Perspective
di: Liu, Yang, et al.
Pubblicazione: (2024)

Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
di: Bradley, Jonathan R.
Pubblicazione: (2024)

Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
di: Zhou, Yidong, et al.
Pubblicazione: (2023)

Environmental Risk Assessment via Nonhomogeneous Hidden Semi-Markov Models with Penalized Vector Auto-Regression
di: Mingione, Marco, et al.
Pubblicazione: (2025)

Design Sensitivity and Its Implications for Weighted Observational Studies
di: Huang, Melody, et al.
Pubblicazione: (2023)

Measuring the Impact of New Risk Factors Within Survival Models
di: Heller, Glenn, et al.
Pubblicazione: (2024)

Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
di: Li, Zexiang, et al.
Pubblicazione: (2026)

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
di: Liu, Hua, et al.
Pubblicazione: (2025)

Semi-Parametric Sensitivity Analysis for Trials with Irregular and Informative Assessment Times
di: Smith, Bonnie B., et al.
Pubblicazione: (2022)

The Spearman-Brown Formula and Reliabilities of Random Test Forms
di: Ellis, Jules L.
Pubblicazione: (2023)

Rank-Based Sparse Regression in Principal Components Space under Measurement Error
di: Feng, Long, et al.
Pubblicazione: (2026)

A likelihood approach to proper analysis of secondary outcomes in matched case-control studies
di: Liu, Shanshan, et al.
Pubblicazione: (2026)

Inflation Target at Risk: A Time-varying Parameter Distributional Regression
di: Wang, Yunyun, et al.
Pubblicazione: (2024)

On the Need for Spatial Random Effects in Bayesian Regression Models for Multilevel Areal Data
di: Lin, Shuqi, et al.
Pubblicazione: (2026)

Regularized Nonlinear Regression with Dependent Errors and its Application to a Biomechanical Model
di: You, Hojun, et al.
Pubblicazione: (2022)

Correcting Measurement Error and Zero Inflation in Functional Covariates for Scalar-on-Function Quantile Regression
di: Qin, Caihong, et al.
Pubblicazione: (2026)

Optimal Functional Bilinear Regression with Two-way Functional Covariates via Reproducing Kernel Hilbert Space
di: Yang, Dan, et al.
Pubblicazione: (2023)

Bias Correction for Semiparametric Regression Models
di: Zhang, Yuming, et al.
Pubblicazione: (2026)

Extension of Wald-Wolfowitz Runs Test for Regression Validity Testing with Repeated Measures of Independent Variable
di: Lian, Bo-Yao, et al.
Pubblicazione: (2025)

Measuring the Impact of Missingness in Traffic Stop Data
di: Kher, Saatvik, et al.
Pubblicazione: (2025)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
di: Matabuena, Marcos, et al.
Pubblicazione: (2025)

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
di: Dalal, Abhinandan, et al.
Pubblicazione: (2026)

SensIAT: An R Package for Conducting Sensitivity Analysis of Randomized Trials with Irregular Assessment Times
di: Redd, Andrew, et al.
Pubblicazione: (2025)

Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
di: Luo, Hengrui, et al.
Pubblicazione: (2026)

Multilevel Regression Modeling of Covariance Matrix Outcomes
di: Green, Michelle Murphy, et al.
Pubblicazione: (2026)

Multilevel Regression Discontinuity Models with Latent Variables
di: Morell, Monica, et al.
Pubblicazione: (2026)

Functional Linear Cox Regression Model with Frailty
di: Inan, Deniz, et al.
Pubblicazione: (2025)

MECfda: An R Package for Bias Correction Due to Measurement Error in Functional and Scalar Covariates in Scalar-on-Function Regression Models
di: Ji, Heyang, et al.
Pubblicazione: (2025)

Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
di: Tang, Wenze, et al.
Pubblicazione: (2023)

Finite Mixture Modeling with Riemannian Gaussian Distributions on Hyperbolic Space
di: You, Kisung
Pubblicazione: (2026)

Bayesian Inference and the Principle of Maximum Entropy
di: Foley, Duncan K., et al.
Pubblicazione: (2024)