Stephen G. Walker

Martingale Posterior Inference for Finite Mixture Models and Clustering

2024 · Journal of Computational and Graphical Statistics

Martingale posterior inference is employed to quantify uncertainty for a finite mixture model with an unknown number of components. New ideas for Bayesian analysis, particularly focusing on martingale posterior distributions, are applied to focus on …