In this week&apos;s episode Greg and Patrick are honored to visit with Yi Feng, a quantitative methodologist at UCLA, as she helps them understand classification and regression tree analysis. She describes the various ways in which these models can be used, and how these can serve to inform both prediction and explanation. Along the way they also discuss looking pensive, drunken 3-way interactions, Stephen Hawking, parlor tricks, Cartman, validation, dragon boats, anxiety, spam filters, hair loss, audio visualizations, overused tree analogies, rainbows &amp; unicorns, rain in Los Angeles, and Moneyball.Stay in contact with Quantitude! <ul> <li>Twitter: <a href='https://twitter.com/quantitudepod'>@quantitudepod</a> </li> <li>Web page: <a href='https://quantitudepod.org/'>quantitudepod.org</a> </li> <li>Merch: <a href='https://www.redbubble.com/shop/quantitude'>redbubble.com</a> </li> </ul>

S5E18 Probability on Spring Break

A podcast dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Co-hosts Patrick Curran and Greg Hancock talk about serious statistical topics, but without taking themselves too seriously. Think: CarTalk hi-jacked by the two grumpy old guys from the Muppets, grousing about quantitative methods, statistics, and data analysis, all presented to you with the production value of a 6th grade school project. But in a good way.