Jessica Ritsick, Yifan Wang, Ph.D. Our FDA: Drug & Device Team analyzes the Food and Drug Administration’s new guidance on Bayesian approaches to innovative drug trials, providing greater clarity on ...

The analysis of data from market research has, until fairly recently, been reliant upon statistical techniques that were developed during the nineteenth and early twentieth centuries for uses entirely ...

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 ...

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 ...

A common misconception about Bayesian statistics is that it mainly involves incorporating personal prior beliefs or subjective opinions. While priors do play a role, the core strength of Bayesian ...

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 ...