In their article “Make Math a Gateway, Not a Gatekeeper” (The Chronicle, April 23), Anthony S. Bryk and Uri Treisman describe a problem and how the Carnegie Foundation for the Advancement of Teaching ...

Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...

This article concerns the construction of simple numerical illustrations of statistical techniques for use in introductory classes. Minimizing the amount of calculation facilitates checking, promotes ...

This article deals with the problem of local sensitivity analysis, that is, how sensitive are the results of a statistical analysis to changes in the data? A general methodology of sensitivity ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.