The first step in any statistical analysis, be it frequentist or Bayesian, is the construction of a probabilistic model which describes, mathematically, the way the data under study has been generated ...

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 article resulted from our participation in the session on the “role of expert opinion and judgment in statistical inference” at the October 2017 ASA Symposium on Statistical Inference. We present ...

The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is ...

1 Describe the fundamental differences between the Bayesian and frequentist approaches to statistics. 2 Construct conjugate families of prior distributions for common sampling distributions. 3 Explain ...