There's nothing to get a scientist's heart pumping like a good, old-fashioned statistical debate. When it comes to topics ...

Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, ...

This has always been my big problem with Bayesian statistics and Gelman makes it very clear in this post. Bayesiansim requires you to start with “prior beliefs” as part of the methodology.

A Bayesian statistics-based method derives unprecedented exact integral formulas, allowing future applications in various areas, including genetic analysis Date: September 13, 2022 ...

In case you’re wondering what Bayesian modeling did for us, here are the corresponding maps from the raw data (weighted to adjust for voter turnout, but that doesn’t actually do that much anyway): ...

A textbook application of Bayes’s theorem is serology testing for Covid-19, which looks for the presence of antibodies to the virus. All tests are imperfect, and the accuracy of an antibody test ...

Course TopicsSome of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses.