A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...