Schedule

aug 25 · review · [slides] [notes] [exercises] fractions, logarithms, and exponents; calculus; matrices; probability theory

sep 01 · ml maximum likelihood; invariance principle; predictive distribution

sep 08 · se sampling distribution; parametric bootstrap; variance and standard error; delta method

sep 15 · X adding covariates; logit models; expected value and first difference

sep 22 · {marginaleffects} {marginaleffects}; information criteria; zero inflation

sep 29 · bayes Bayesian inference; rejection sampling; a Bayesian invariance property; censoring; duration models Due Sep. 29: prospectus for research paper.

oct 06 · mcmc Metropolis algorithm; HMC + Stan and its R ecosystem

oct 13 · midterm exam

oct 20 · ai Due: (1) first draft of research paper due and (2) initial outline of take-home workshop handout.

oct 27 · hierarchical models, 1 Due: (1) peer-review memo and (2) first drafts of all workshop materials.

nov 03 · hierarchical models, 2

nov 10 · irt Due: workshop rehearsal

nov 17 · a final perspective

nov 24 · wrap Due: second draft of research paper.

dec 01 · posters No class meeting; instead, poster presentations on the 5th floor of Bellamy from 9:45 to 11:30 AM.

dec 08 · final exam 9:00–11:30 AM in Bellamy 113, our usual meeting time. Due: final draft of research paper.