The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

5/9: Solutions to HW 4 are now posted below. 5/8: Solutions to review problems are here. 5/4: Final Exam Review Problems are here. (I may post a couple more on Saturday.) 3/21: Project time! You can ...

We study the Bayesian problems of detecting a change in the drift rate of an observable diffusion process with linear and exponential penalty costs for a detection delay. The optimal times of alarms ...

The Annals of Statistics, Vol. 5, No. 1 (Jan., 1977), pp. 172-181 (10 pages) In the empirical Bayes approach to multiple decision problems, we obtain theorems and lemmas which can be used to obtain ...