Bayesian analysis
Definition
Bayesian analysis refers to a statistical approach for estimating model parameters and testing relationships by sampling from or optimizing posterior distributions derived from prior specifications and observed data. In the context of graphical models, Bayesian analysis enables the estimation of regularized partial correlations between variables through flexible prior specification on transformation parameters, such as the lower diagonal elements of Cholesky decomposition matrices, allowing for the modeling of diverse data types (binary, ordinal, continuous) and direct estimation of edge presence or absence during the estimation process.
Sources: Franco et al. (2024)
Related Terms
Applications
Bayesian Analysis and Network Psychometrics
Bayesian analysis provides a framework for estimating graphical models that represent relationships between variables.
Sources: Franco et al. (2024)
Bayesian Analysis and Regularization
Bayesian analysis provides an alternative regularization framework for graphical models by shrinking or regularizing correlation values toward zero through prior specification.
Sources: Franco et al. (2024)
