The "replication crisis" refers to a problem in the sciences where findings from previous experiments don't hold up when studies are repeated. It is a particular issue for those in the behavioral ...

Ideally, specific treatment for a cancer patient is decided by a multidisciplinary tumor board, integrating prior clinical experience, published data, and patient-specific factors to develop a ...

Bayesian trials formally integrate prior evidence with accruing data to yield posterior probabilities, supporting interim learning, adaptive modifications, and direct predictive futility/efficacy ...

Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and ...

Bayesian networks, also known as Bayes nets, belief networks, or decision networks, are a powerful tool for understanding and reasoning about complex systems under uncertainty. They are essentially ...