As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

This course covers the ideas underlying statistical modelling in science through the lens of causal thinking. We cover the implementation of these ideas through Bayesian computational methods and ...

Learning outcomes 1 Describe the fundamental differences between the Bayesian and frequentist approaches to statistics. 2 Construct conjugate families of prior distributions for common sampling ...

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 ...