:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Susmann, Herbert P., Li, Yiting, McAdams-DeMarco, Mara A., Wu, Wenbo, Díaz, Iván
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2505.08065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Doubly Robust Nonparametric Efficient Estimation for Provider Evaluation
by: Susmann, Herbert, et al.
Published: (2024)

Comparing causal parameters with many treatments and positivity violations
by: McClean, Alec, et al.
Published: (2024)

Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims
by: Wu, Wenbo, et al.
Published: (2023)

Flexibly Modeling Shocks to Demographic and Health Indicators with Bayesian Shrinkage Priors
by: Susmann, Herbert, et al.
Published: (2024)

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
by: Alkema, Leontine, et al.
Published: (2024)

Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
by: Näf, Jeffrey, et al.
Published: (2024)

Non-overlap Average Treatment Effect Bounds
by: Susmann, Herbert P., et al.
Published: (2025)

Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments
by: Susmann, Herbert, et al.
Published: (2024)

Flexible Modeling of Demographic Transition Processes with a Bayesian Hierarchical B-splines Model
by: Susmann, Herbert, et al.
Published: (2023)

Response to Letter to the Editor by Kumar, et al.
by: Babak J. Orandi, et al.
Published: (2026)

Computationally and statistically efficient estimation of time-smoothed counterfactual curves
by: Susmann, Herbert P., et al.
Published: (2025)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Linear Shrinkage Convexification of Penalized Linear Regression With Missing Data
by: Park, Seongoh, et al.
Published: (2024)

Penalized Spline M-Estimators for Discretely Sampled Functional Data: Existence and Asymptotics
by: Kalogridis, Ioannis
Published: (2025)

Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)

Aging and Infections in Solid Organ Transplantation: Unchartered Territory
by: Maheen Z. Abidi, et al.
Published: (2024)

Adaptive Penalized Likelihood method for Markov Chains
by: Zhou, Yining, et al.
Published: (2024)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Shrinkage Estimators for Beta Regression Models
by: Firinguetti, Luis, et al.
Published: (2024)

Optimal Shrinkage Estimation of Fixed Effects in Linear Panel Data Models
by: Kwon, Soonwoo
Published: (2023)

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)

Prediction-Powered Adaptive Shrinkage Estimation
by: Li, Sida, et al.
Published: (2025)

System Reliability Estimation via Shrinkage
by: Qiang, Beidi, et al.
Published: (2025)

Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
by: Wu, Hao, et al.
Published: (2025)

Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)

Accurate Inference for Penalized Logistic Regression
by: Zhang, Yuming, et al.
Published: (2024)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)

Causal Inference in Panel Data with a Continuous Treatment
by: Xiao, Zhiguo, et al.
Published: (2025)

Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)

Adaptive Experimental Design Using Shrinkage Estimators
by: Rosenman, Evan T. R., et al.
Published: (2026)

A Unified Approach for Estimating Various Treatment Effects in Causal Inference
by: Wu, Kuan-Hsun, et al.
Published: (2025)

Causal Inference for Network Autoregression Model: A Targeted Minimum Loss Estimation Approach
by: Wu, Yong, et al.
Published: (2025)

Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)

Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
by: Manna, Alokesh, et al.
Published: (2024)

Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by: Fisher, Zachary F., et al.
Published: (2020)

Note on the Delta Method for Finite Population Inference with Applications to Causal Inference
by: Pashley, Nicole E.
Published: (2019)

Causal Estimation and Inference in Nonlinear Mendelian Randomization Studies
by: Wang, Xinpei, et al.
Published: (2024)

Causal Inference on Missing Exposure via Robust Estimation
by: Shi, Yuliang, et al.
Published: (2024)

Factorized Fusion Shrinkage for Dynamic Relational Data
by: Zhao, Peng, et al.
Published: (2022)