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Bayesian hierarchical modeling

Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior… 
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Papers overview

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2017
2017
Statistical modeling of fMRI data is challenging as the data are both spatially and temporally correlated. Spatially… 
Review
2017
Review
2017
Probabilistic projection of Total Fertility Rate (TFR) for Pakistan and its regions was done using Bayesian Hierarchical modeling… 
2016
2016
Bayesian analysis is a flexible statistical methodology for inferring properties of unknown parameters by combining observational… 
2012
2012
The motivation for Bayesian approaches to spatial modeling lies in the difficulties of spatial data that we’ve discussed. Data… 
2006
2006
Cho and Lee (2004) proposed a Bayesian hierarchical error model (HEM) to account for heterogeneous error variability in… 
2004
2004
There are many challenges with assessing the reliability of a system today. These challenges arise because a system may be aging… 
Review
2003
Review
2003
In this paper, Bayesian hierarchical modeling techniques are used to identify and rank hazardous intersections for bicycles in… 
2003
2003
4 For complex educational assessments, there is an increasing use of item families, which are groups of related items. However… 
Review
1998
Review
1998
Current issues in the atmospheric and allied sciences are of fundamental interest to both the scientific community and the…