Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...

The alternative text for this image may have been generated using AI. Towards unraveling gene expression models, we consider experimental methods providing discrete RNA counts, with a focus on ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...