A Calibrated Data-Driven Approach for Small Area Estimation using Big Data
Fuente:
arXiv
Saved in:
| Main Authors: | Tam, Siu-Ming, Sharmeen, Shaila |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A calibrated data‐driven approach for small area estimation using big data
by: Siu‐Ming Tam, et al.
Published: (2024)
by: Siu‐Ming Tam, et al.
Published: (2024)
More with Less - Bethel Allocation and Precision-Preserving Sample Size Reduction via Hierarchical Bayes Modelling
by: Tam, Siu-Ming
Published: (2026)
by: Tam, Siu-Ming
Published: (2026)
Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights
by: Tam, Siu-Ming
Published: (2026)
by: Tam, Siu-Ming
Published: (2026)
Gradient Boosting for Hierarchical Data in Small Area Estimation
by: Messer, Paul, et al.
Published: (2024)
by: Messer, Paul, et al.
Published: (2024)
On linkage bias-correction for estimators using iterated bootstraps
by: Tam, Siu-Ming, et al.
Published: (2025)
by: Tam, Siu-Ming, et al.
Published: (2025)
Accounting for Mismatch Error in Small Area Estimation with Linked Data
by: Fabrizi, Enrico, et al.
Published: (2024)
by: Fabrizi, Enrico, 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)
by: Schumacher, Austin E, et al.
Published: (2025)
On Data Thinning for Model Validation in Small Area Estimation
by: Kawano, Sho, et al.
Published: (2026)
by: Kawano, Sho, et al.
Published: (2026)
Estimating Propensities of Selection for Big Datasets via Data Integration
by: Ang, Lyndon, et al.
Published: (2025)
by: Ang, Lyndon, et al.
Published: (2025)
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023)
by: Asiaee, Amir, et al.
Published: (2023)
Estimating Shapley Effects in Big-Data Emulation and Regression Settings using Bayesian Additive Regression Trees
by: Horiguchi, Akira, et al.
Published: (2023)
by: Horiguchi, Akira, et al.
Published: (2023)
Small Area Estimation of Inequality Measures using Mixtures of Beta
by: De Nicolò, Silvia, et al.
Published: (2022)
by: De Nicolò, Silvia, et al.
Published: (2022)
Areal Disaggregation: A Small Area Estimation Perspective
by: Wu, Yunhan, et al.
Published: (2026)
by: Wu, Yunhan, et al.
Published: (2026)
Small Area Estimation using EBLUPs under the Nested Error Regression Model
by: Lyu, Ziyang, et al.
Published: (2022)
by: Lyu, Ziyang, et al.
Published: (2022)
Automatic Variance Adjustment for Small Area Estimation
by: Wakefield, Jon, et al.
Published: (2026)
by: Wakefield, Jon, et al.
Published: (2026)
Simultaneous Estimation and Model Choice for Big Discrete Time-to-Event Data with Additive Predictors
by: Müller, Benjamin, et al.
Published: (2025)
by: Müller, Benjamin, et al.
Published: (2025)
Improved Small Area Inference from Data Integration Using Global-Local Priors
by: Cahoy, D, et al.
Published: (2024)
by: Cahoy, D, et al.
Published: (2024)
Bayesian Benchmarking Small Area Estimation via Entropic Tilting
by: Sugasawa, Shonosuke, et al.
Published: (2024)
by: Sugasawa, Shonosuke, et al.
Published: (2024)
Bias Corrected Variance Stabilizing Transformation for Small Area Estimation
by: Hirose, Masayo Y., et al.
Published: (2025)
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)
by: Wu, Yunhan, et al.
Published: (2025)
Balanced Subsampling for Big Data with Categorical Covariates
by: Wang, Lin
Published: (2022)
by: Wang, Lin
Published: (2022)
Efficient Data Reduction Strategies for Big Data and High-Dimensional LASSO Regressions
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Small Area Estimation of Education Levels in Low- and Middle-Income Countries
by: Wu, Yunhan, et al.
Published: (2025)
by: Wu, Yunhan, et al.
Published: (2025)
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
by: Wang, Zixiao, et al.
Published: (2023)
by: Wang, Zixiao, et al.
Published: (2023)
A Calibration Framework for Inference with Partially Observed Data
by: Pervin, Mst Moushumi, et al.
Published: (2026)
by: Pervin, Mst Moushumi, et al.
Published: (2026)
Causal Small Area Estimation with Survey-only Covariates
by: Ito, Tsubasa, et al.
Published: (2026)
by: Ito, Tsubasa, et al.
Published: (2026)
Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
by: Santafé, G., et al.
Published: (2025)
by: Santafé, G., et al.
Published: (2025)
Fast Estimation of the Renshaw-Haberman Model and Its Variants
by: Guo, Yiping, et al.
Published: (2023)
by: Guo, Yiping, et al.
Published: (2023)
Data-Driven Approaches for Modelling Target Behaviour
by: Schlangen, Isabel, et al.
Published: (2024)
by: Schlangen, Isabel, et al.
Published: (2024)
Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure
by: Beavers, Traymon E., et al.
Published: (2024)
by: Beavers, Traymon E., et al.
Published: (2024)
A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data
by: Lee, Sze Ming, et al.
Published: (2024)
by: Lee, Sze Ming, et al.
Published: (2024)
Small Area Estimation of General Indicators in Off-Census Years
by: Acero, William, et al.
Published: (2025)
by: Acero, William, et al.
Published: (2025)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)
by: Buriticá, Gloria, et al.
Published: (2024)
Comparing Misspecified Models with Big Data: A Variational Bayesian Perspective
by: Li, Yong, et al.
Published: (2025)
by: Li, Yong, et al.
Published: (2025)
Data-Adaptive Automatic Threshold Calibration for Stability Selection
by: Huang, Martin, et al.
Published: (2025)
by: Huang, Martin, et al.
Published: (2025)
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
by: Wakefield, Jon, et al.
Published: (2021)
by: Wakefield, Jon, et al.
Published: (2021)
Estimating Covariate-balanced Survival Curve in Distributed Data Environment using Data Collaboration Quasi-Experiment
by: Toyoda, Akihiro, et al.
Published: (2025)
by: Toyoda, Akihiro, et al.
Published: (2025)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
by: Kawano, Sho, et al.
Published: (2024)
by: Kawano, Sho, et al.
Published: (2024)
Fully Bayesian Spectral Clustering and Benchmarking with Uncertainty Quantification for Small Area Estimation
by: Fúquene-Patiño, Jairo
Published: (2025)
by: Fúquene-Patiño, Jairo
Published: (2025)
Similar Items
-
A calibrated data‐driven approach for small area estimation using big data
by: Siu‐Ming Tam, et al.
Published: (2024) -
More with Less - Bethel Allocation and Precision-Preserving Sample Size Reduction via Hierarchical Bayes Modelling
by: Tam, Siu-Ming
Published: (2026) -
Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights
by: Tam, Siu-Ming
Published: (2026) -
Gradient Boosting for Hierarchical Data in Small Area Estimation
by: Messer, Paul, et al.
Published: (2024) -
On linkage bias-correction for estimators using iterated bootstraps
by: Tam, Siu-Ming, et al.
Published: (2025)