stat 4/6c03

General info

• class meetings: MWR 1:30-2:20, IWC 224 JHE326H, starting Thurs 13 September

Lecture notes

• intro [PDF, Rmd]
• distributions [PDF, Rmd]
• modeling and inference [HTML, Rmd]
• model parameterization [PDF, Sweave]
• GLM definition and derivation [PDF, Sweave]
• GLM computational details [PDF, Sweave]
• inference [PDF, Sweave]
• logistic [PDF, Sweave]
• binomial and Poisson models [PDF, Sweave]
• complete separation [PDF, Sweave]
• tidy models [PDF, Sweave]
• zero-inflation [PDF, Sweave]
• ordinal/nominal data [PDF, Sweave]
• GLMM (intro) [PDF, Rmarkdown]
• mixed lab [PDF, Rmarkdown]
• mixed model details [PDF, Rmarkdown]

Assignments

• HW1 (12 Sep); general comments
• HW2 (26 Sep)
• HW3 (19 Oct)
(data set); solutions
• midterm test and data: Titanic (binary)", Titanic (aggregated), adult incomes
• participation Q#3: due Friday 2 Nov at 5 PM (by e-mail)
• HW4 (12 Nov) (data set)
• Project
• final exam: test and data: fake rice, aggregated salamanders, seatbelts, early childhood interventions

Admin stuff

• Course outline (HTML)
• Schedule (HTML)
• Forum/issues

Extras

• a book chapter: sections 4 and 5 give a relatively friendly introduction to likelihood profiles, Wald approximations, etc.

Fun (?) stuff