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stat.ME2026
Bayesian Multiple Multivariate Density-Density Regression
Khai Nguyen, Yang Ni, Peter Mueller
We propose the first approach for multiple multivariate density-density regression (MDDR), making it possible to consider the regression of a multivariate density-valued response o…
stat.ME2025
Bayesian Multivariate Density-Density Regression
Khai Nguyen, Yang Ni, Peter Mueller
We introduce a novel and scalable Bayesian framework for multivariate-density-density regression (DDR), designed to model relationships between multivariate distributions. Our appr…
stat.ME2024
Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
Khai Nguyen, Peter Mueller
Existing methods to summarize posterior inference for mixture models focus on identifying a point estimate of the implied random partition for clustering, with density estimation a…