In this week’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 […]
S5E17 Classification and Regression Trees with Yi Feng Read More »
In this week’s episode Greg and Patrick talk all about Simpson’s Paradox: what it is, examples of where it occurs in real life, and why we might not really need to think about it as a paradox at all. Along the way they also discuss Apple Vision, The Simpsons predicting the future, sitting too close
S5E16 Simpson’s Paradox Read More »
In this week’s episode Greg and Patrick take a walk down memory lane to rediscover classical test theory, although they revisit this through the lens of modern latent variable models. They describe how these classical methods are actually highly restricted latent measurement models and they explore how these restrictions can be relaxed and even tested.
S5E15 Classical Test Theory (in bed) Read More »
