Cover Image

Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wei, Bailey, Angela, Tignanelli, Christopher, Huling, Jared D.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Unified Framework for Causal Estimand Selection
by: Barnard, Martha, et al.
Published: (2024)

Estimating causal effects of functional treatments with modified functional treatment policies
by: Jiang, Ziren, et al.
Published: (2026)

Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
by: Barnard, Martha, et al.
Published: (2025)

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
by: Pal, Samhita, et al.
Published: (2026)

Data adaptive covariate balancing for causal effect estimation for high dimensional data
by: De, Simion, et al.
Published: (2025)

Modified treatment policy effect estimation with weighted energy distance
by: Jiang, Ziren, et al.
Published: (2023)

Estimation of heterogeneous principal effects under principal ignorability
by: Zhang, Rui, et al.
Published: (2026)

Counterfactual fairness for small subgroups
by: Wastvedt, Solvejg, et al.
Published: (2023)

Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
by: Asiaee, Amir, et al.
Published: (2026)

Heterogeneous readmission prediction with hierarchical effect decomposition and regularization
by: Jiang, Ziren, et al.
Published: (2026)

Dynamic Prediction for Hospital Readmission in Patients with Chronic Heart Failure
by: Farina, Rebecca, et al.
Published: (2025)

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
by: Asiaee, Amir, et al.
Published: (2026)

Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023)

Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies
by: Jiang, Ziren, et al.
Published: (2025)

Transportability of Principal Causal Effects
by: Clark, Justin M., et al.
Published: (2024)

EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)

Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)

Broadcasted Nonparametric Tensor Regression
by: Zhou, Ya, et al.
Published: (2020)

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

Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)

Nonparametric Regression via Tree-Guided Feature Aggregation
by: Manage, Sithija, et al.
Published: (2026)

Robust Nonparametric Testing Approaches for Spatial Regression
by: Wi, Kanghyun, et al.
Published: (2026)

On Nonparametric Estimation of Covariograms
by: Bilchouris, Adam, et al.
Published: (2024)

Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
by: Ye, Shengbin, et al.
Published: (2024)

Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
by: Shan, Jiawei, et al.
Published: (2024)

Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
by: Wen, Wang, et al.
Published: (2025)

Nonparametric Bayesian Knockoff Generators for Feature Selection Under Complex Data Structure
by: Martens, Michael J., et al.
Published: (2021)

Matching-Based Nonparametric Estimation of Group Average Treatment Effects
by: Wu, Peng, et al.
Published: (2025)

Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
by: Bianco, Ana M., et al.
Published: (2024)

Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
by: Li, Daoji, et al.
Published: (2023)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

Nonparametric Testing and Variable Selection for ARCH-m(X) Model
by: Zambom, Adriano Zanin, et al.
Published: (2026)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
by: Jeong, Yujin, et al.
Published: (2026)

Principled Estimation and Prediction with Competing Risks: a Bayesian Nonparametric Approach
by: Del Sole, Claudio, et al.
Published: (2026)

Nonparametric Survival Estimation with Contaminated and Adjudicated Events
by: Bladt, Martin, et al.
Published: (2025)

Generalised Exponential Kernels for Nonparametric Density Estimation
by: Craig, Laura M., et al.
Published: (2026)

Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)