Recent advances in microbiome science have revealed extensive associations between microbial communities and host health; however, the causal mechanisms ...

Abstract: Bayes' rule, although a powerful framework for performing state estimation, is often intractable for real-world, nonlinear dynamic systems. As a result, estimation algorithms typically rely ...

Abstract: Conventional neural network-based machine learning algorithms often encounter difficulties in data-limited scenarios or where interpretability is critical. Conversely, Bayesian ...