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 today’s episode Greg and Patrick talk about regularization, which includes ridge, LASSO, and elastic net procedures for variable selection within the general linear model and beyond. Along the way they also mention Bowdlerizing, The Family Shakespeare, disturbance in the force, McNeish on his bike, Spandex, C’mon guys wait up, the altar of unbiasedness, Curranizing, shooting arrows, stepwise
S5E09 Regularized Variable Selection Methods Read More »
Patrick and Greg discuss the rise of machine learning in the social sciences with guest Doug Steinley who is a professor in the Department of Psychology at the University of Missouri at Columbia and is the current editor of the APA journal Psychological Methods. Along the way they also discuss funeral expenses, Swedish massage, Amy
S3E20: The Rise of Machine Learning in the Social Sciences with Doug Steinley Read More »
