Cover Image

Improved Small Area Inference from Data Integration Using Global-Local Priors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cahoy, D, Sedransk, J
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
by: Santafé, G., et al.
Published: (2025)

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
by: Si, Yajuan, et al.
Published: (2022)

Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
by: White, Rebekah D., et al.
Published: (2024)

Gradient Boosting for Hierarchical Data in Small Area Estimation
by: Messer, Paul, et al.
Published: (2024)

Accounting for Mismatch Error in Small Area Estimation with Linked Data
by: Fabrizi, Enrico, et al.
Published: (2024)

A Calibrated Data-Driven Approach for Small Area Estimation using Big Data
by: Tam, Siu-Ming, et al.
Published: (2023)

Bootstrap Nonparametric Inference under Data Integration
by: Shang, Zuofeng, et al.
Published: (2025)

Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
by: Guha, Subharup, et al.
Published: (2025)

Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data
by: Gronsbell, Jessica, et al.
Published: (2023)

Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026)

Bayesian Variable Selection on Small Sample Trial Data via Adaptive Posterior-Informed Shrinkage Prior
by: Kong, Lingxuan, et al.
Published: (2025)

Improved Inference for CSDID Using the Cluster Jackknife
by: Karim, Sunny R., et al.
Published: (2026)

Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)

On Data Thinning for Model Validation in Small Area Estimation
by: Kawano, Sho, et al.
Published: (2026)

Automatic Variance Adjustment for Small Area Estimation
by: Wakefield, Jon, et al.
Published: (2026)

Early-Phase Local-Area Model for Pandemics Using Limited Data: A SARS-CoV-2 Application
by: Shi, Jiasheng, et al.
Published: (2022)

Multidimensional Poverty Mapping for Small Areas
by: Das, Soumojit, et al.
Published: (2025)

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
by: Wang, Xinru, et al.
Published: (2023)

Areal Disaggregation: A Small Area Estimation Perspective
by: Wu, Yunhan, et al.
Published: (2026)

Classification Using Global and Local Mahalanobis Distances
by: Ghosh, Annesha, et al.
Published: (2024)

Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
by: D'Alessandro, Matteo, et al.
Published: (2024)

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
by: Schumacher, Austin E, et al.
Published: (2025)

Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
by: Chakrabarti, Arhit, et al.
Published: (2025)

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
by: Li, Xiudi, et al.
Published: (2025)

Bayesian Benchmarking Small Area Estimation via Entropic Tilting
by: Sugasawa, Shonosuke, et al.
Published: (2024)

Pseudo Empirical Best Prediction of Multiple Characteristics in Small Areas
by: Acero, William, et al.
Published: (2026)

Bias Corrected Variance Stabilizing Transformation for Small Area Estimation
by: Hirose, Masayo Y., et al.
Published: (2025)

Small Area Estimation of Fertility in Low- and Middle-Income Countries
by: Wu, Yunhan, et al.
Published: (2025)

Bayesian Inference for Sexual Contact Networks Using Longitudinal Survey Data
by: Hoffmann, Till, et al.
Published: (2025)

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)

Small Area Estimation of General Indicators in Off-Census Years
by: Acero, William, et al.
Published: (2025)

Bayesian Clustering Prior with Overlapping Indices for Effective Use of Multisource External Data
by: Lu, Xuetao, et al.
Published: (2024)

Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
by: Okano, Ryo, et al.
Published: (2022)

Small Area Estimation of Education Levels in Low- and Middle-Income Countries
by: Wu, Yunhan, et al.
Published: (2025)

GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression
by: Keret, Nir, et al.
Published: (2025)

Variational Prior Replacement in Bayesian Inference and Inversion
by: Zhao, Xuebin, et al.
Published: (2024)

A Hybrid Prior Bayesian Method for Combining Domestic Real-World Data and Overseas Data in Global Drug Development
by: Chen, Keer, et al.
Published: (2025)

An Integrative Approach for Subtyping Mental Disorders Using Multimodal Data
by: Zhao, Yinjun, et al.
Published: (2025)

Bayes Factors Based on Test Statistics and Non-Local Moment Prior Densities
by: Datta, Saptati, et al.
Published: (2023)

Small Area Estimation using EBLUPs under the Nested Error Regression Model
by: Lyu, Ziyang, et al.
Published: (2022)