Extended beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh

Cites Work

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Sparsity information and regularization in the horseshoe and other shrinkage priors
Beta Regression for Modelling Rates and Proportions
Small area estimation of general parameters with application to poverty indicators: a hierarchical Bayes approach
Hierarchical Bayes multivariate estimation of poverty rates based on increasing thresholds for small domains
Transforming response values in small area prediction
Poisson mixed models for studying the poverty in small areas
Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey
Small area estimation with spatio-temporal Fay-Herriot models
Statistical inference in Bernoulli trials with dependence
Inference with normal-gamma prior distributions in regression problems
Small Area Estimation
Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
Ultimate Cluster Sampling
Data Analysis Using Stein's Estimator and its Generalizations
Estimating Intraclass Correlation for Binary Data
Properties of the beta regression model for small area estimation of proportions and application to estimation of poverty rates
Model Selection by Testing for the Presence of Small-Area Effects, and Application to Area-Level Data
Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening
Bayesian small area estimation for skewed business survey variables
Constructing sociodemographic indicators for national statistical institutes by using mobile phone data: estimating literacy rates in Senegal

This page was built for publication: Extended beta models for poverty mapping. An application integrating survey and remote sensing data in Bangladesh