Hierarchical Bayesian models are statistical models that incorporate multiple levels of parameters, allowing for the analysis of data that is organized in a nested or hierarchical structure. These models enable researchers to capture complex relationships and share information across different groups, leading to more robust estimates of parameters and better predictions.
congrats on reading the definition of Hierarchical Bayesian Models. now let's actually learn it.