This week Patrick and Greg talk about maximum likelihood estimation: what it is, where it comes from, how it works, what it can do, and what it can’t do. Along they way they also discuss tour-bombing your kid, licking the turtle, Van Halen and AC/DC, orange mustaches, brandy snifter pong, bus #27, Ronnie Fisher, why people hate us, circus tents, night parachuting, flat spots, lazy parabolas, vanilla ice cream, and statistical bouncers.
Lightly Edited Transcript
We provide a lightly-edited and obviously imperfect audio transcript of the episode available here. This is not an exact representation of the audio, but does provide a searchable document with identified speakers and associated time stamps.
Bollen, K. A. (1989). Structural equations with latent variables (Vol. 210). John Wiley & Sons.
Enders, C. K. (2022). Applied missing data analysis. Guilford Publications.
Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical models.