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Multilevel time-series models for small area estimation at different frequencies and domain levels

https://doi.org/10.1214/21-aoas1592
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471667196.ess0731openalex-snapshot
Small Area Estimation
inferredcites →https://doi.org/10.1006/jmva.1995.1059openalex-snapshot
Robust Hierarchical Bayes Estimation of Small Area Characteristics in the Presence of Covariates and Outliers
inferredcites →https://doi.org/10.1007/978-1-4612-4378-6openalex-snapshot
Model Assisted Survey Sampling
inferredcites →https://doi.org/10.1007/bf00116466openalex-snapshot
Bayesian image restoration, with two applications in spatial statistics
inferredcites →https://doi.org/10.1007/s001800200121openalex-snapshot
Function estimation with locally adaptive dynamic models
inferredcites →https://doi.org/10.1016/j.jspi.2009.07.022openalex-snapshot
Robust linear mixed models for Small Area Estimation
inferredcites →https://doi.org/10.1016/s0169-2070(00)00037-6openalex-snapshot
Comparing seasonal components for structural time series models
inferredcites →https://doi.org/10.1017/cbo9780511790942openalex-snapshot
Data Analysis Using Regression and Multilevel/Hierarchical Models
inferredcites →https://doi.org/10.1080/01621459.1979.10482505openalex-snapshot
Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data
inferredcites →https://doi.org/10.1080/01621459.1988.10478561openalex-snapshot
An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data
inferredcites →https://doi.org/10.1080/01621459.1990.10476213openalex-snapshot
Sampling-Based Approaches to Calculating Marginal Densities
inferredcites →https://doi.org/10.1080/01621459.2017.1419135openalex-snapshot
Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
inferredcites →https://doi.org/10.1093/acprof:oso/9780199694587.003.0017openalex-snapshot
Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction*
inferredcites →https://doi.org/10.1093/biomet/82.4.733openalex-snapshot
On conditional and intrinsic autoregressions
inferredcites →https://doi.org/10.1093/biomet/83.3.589openalex-snapshot
Markov chain Monte Carlo in conditionally Gaussian state space models
inferredcites →https://doi.org/10.1093/biomet/asq017openalex-snapshot
The horseshoe estimator for sparse signals
inferredcites →https://doi.org/10.1093/biomet/ass063openalex-snapshot
Benchmarking small area estimators
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/1467-9868.00353openalex-snapshot
Bayesian Measures of Model Complexity and Fit
inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00700.xopenalex-snapshot
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
inferredcites →https://doi.org/10.1111/j.1467-9876.2007.00580.xopenalex-snapshot
Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00989.xopenalex-snapshot
Scale Mixtures of Normal Distributions
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/rssc.12254openalex-snapshot
Bayesian Small Area Estimation for Skewed Business Survey Variables
inferredcites →https://doi.org/10.1111/sjos.12246openalex-snapshot
Bayesian Estimators for Small Area Models Shrinking Both Means and Variances
inferredcites →https://doi.org/10.1198/016214506000000591openalex-snapshot
Small-Area Estimation With State–Space Models Subject to Benchmark Constraints
inferredcites →https://doi.org/10.1198/016214508000000337openalex-snapshot
The Bayesian Lasso
inferredcites →https://doi.org/10.1198/016214508000000724openalex-snapshot
Domain-Level Covariance Analysis for Multilevel Survey Data With Structured Nonresponse
inferredcites →https://doi.org/10.1201/9780203492024openalex-snapshot
Gaussian Markov Random Fields
inferredcites →https://doi.org/10.1214/06-ba117aopenalex-snapshot
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
inferredcites →https://doi.org/10.1214/088342306000000015openalex-snapshot
General Design Bayesian Generalized Linear Mixed Models
inferredcites →https://doi.org/10.2307/3315407openalex-snapshot
Small‐area estimation by combining time‐series and cross‐sectional data
inferredcites →https://doi.org/10.48550/arxiv.1004.2316openalex-snapshot
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4468022openalex-extracted
Improved Estimates of Child Undernutrition Trends in Micro-level Administrative Units in Bangladesh Using Remote-Sensed Data
inferred← citeshttps://doi.org/10.1007/s00148-024-01043-6openalex-snapshot
Improved estimates of child malnutrition trends in Bangladesh using remote-sensed data
inferred← citeshttps://doi.org/10.1007/s40980-022-00113-1openalex-snapshot
Small Area Estimation of Age-Specific and Total Fertility Rates in Bangladesh
inferred← citeshttps://doi.org/10.1007/s40980-025-00144-4openalex-snapshot
The Effect of Space, Time and Night-Time Light Intensity on Antenatal Care Coverage in Bangladesh
inferred← citeshttps://doi.org/10.1080/00324728.2023.2239772openalex-snapshot
Trends in chronic childhood undernutrition in Bangladesh for small domains
inferred← citeshttps://doi.org/10.1093/jrsssa/qnaf043openalex-snapshot
Bayesian unit-level models for longitudinal survey data under informative sampling: an analysis of expected job loss using the Household Pulse Survey
inferred← citeshttps://doi.org/10.1093/jssam/smag013openalex-snapshot
Three-fold Fay-Herriot model with unequal variance random effects
inferred← citeshttps://doi.org/10.1111/anzs.70025openalex-snapshot
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
inferred← citeshttps://doi.org/10.1177/0282423x241235267openalex-snapshot
Structural Break in the Norwegian Labor Force Survey Due to a Redesign During a Pandemic
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2829471/v1openalex-snapshot
Daily smoking prevalence for small domains in Australia
inferred← citeshttps://doi.org/10.33540/1791openalex-snapshot
Improving Predictions of Response Propensities for Effective Adaptive Survey Design (ASD)
inferred← citeshttps://doi.org/10.3390/su18168527openalex-snapshot
Claimant Count Responses to Light Rail Expansion in Mature UK Cities: A Difference-in-Differences Analysis
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