Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models

Jinlin Lai, Justin Domke, Daniel Sheldon

Bayesian reasoning in linear mixed-effects models (LMMs) is challenging and often requires advanced sampling techniques like Markov chain Monte Carlo (MCMC). A common approach is t…