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Found 14 papers, 12 papers with code
Bayesian Spatial Predictive Synthesis
Spatial data are characterized by their spatial dependence, which is often complex, non-linear, and difficult to capture with a single model.
Grouped Generalized Estimating Equations for Longitudinal Data Analysis
Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects.
Methodology
Log-Regularly Varying Scale Mixture of Normals for Robust Regression
Linear regression with the classical normality assumption for the error distribution may lead to an undesirable posterior inference of regression coefficients due to the potential outliers.
Methodology
Robust Fitting of Mixture Models using Weighted Complete Estimating Equations
This study proposes a method of weighted complete estimating equations (WCE) for the robust fitting of mixture models.
Methodology
Robust Bayesian Regression with Synthetic Posterior
Although linear regression models are fundamental tools in statistical science, the estimation results can be sensitive to outliers.
Methodology
Bayesian Semiparametric Modeling of Response Mechanism for Nonignorable Missing Data
Statistical inference with nonresponse is quite challenging, especially when the response mechanism is nonignorable.
Methodology
On Global-local Shrinkage Priors for Count Data
Global-local shrinkage prior has been recognized as useful class of priors which can strongly shrink small signals towards prior means while keeping large signals unshrunk.
Methodology
Improved Confidence Regions in Meta-analysis of Diagnostic Test Accuracy
Meta-analyses of diagnostic test accuracy (DTA) studies have been gathering attention in research in clinical epidemiology and health technology development, and bivariate random-effects model is becoming a standard tool.
Methodology
An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables
Model-assisted estimation with complex survey data is an important practical problem in survey sampling.
Methodology
Efficient selection of predictive biomarkers for individual treatment selection
The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might receive beneficial or harmful effects from different available treatments.
Methodology
Estimation and inference for area-wise spatial income distributions from grouped data
Based on the multinomial likelihood function for grouped data, we propose a spatial state-space model for area-wise parameters of parametric income distributions.
Methodology
Grouped Heterogeneous Mixture Modeling for Clustered Data
Clustered data is ubiquitous in a variety of scientific fields.
Methodology
A Unified Method for Improved Inference in Random-effects Meta-analysis
Random-effects meta-analyses have been widely applied in evidence synthesis for various types of medical studies.
Methodology
Adaptively Transformed Mixed Model Prediction of General Finite Population Parameters
For estimating area-specific parameters (quantities) in a finite population, a mixed model prediction approach is attractive.
Methodology
