How Bayesian testing lets Google measure incrementality with $5,000

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
JSTOR Daily

Learning from a lot: Empirical Bayes for high-dimensional model-based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

Understanding Prior Probability in Bayesian Statistics

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

Make Better Decisions With Bayesian Probability, the Smart Way to Consider Risk

It’s estimated that human adults make about 35,000 decisions a day — the percentage of good decisions depends on the adult. These choices can be as banal as deciding to roll or crumple toilet paper or ...
JSTOR Daily

Bayes Model Selection with Path Sampling: Factor Models and Other Examples

We prove a theorem justifying the regularity conditions which are needed for Path Sampling in Factor Models. We then show that the remaining ingredient, namely, MCMC for calculating the integrand at ...
Scientific American

Bayes's Theorem: What's the Big Deal?

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American I’m not sure when I first heard of Bayes’ ...