STA 2212H: Mathematical Statistics II

January 11 to April 5 2022
Tuesday 10.10 am - 1.00 pm Eastern
Online January 11 through Feb 15
GB 248 Mar 1 through April 6

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Office Hours

Mondays 7.00 -- 8.00 pm, Tuesdays 5.00--6.00 pm

Week 12 April 5

Week 11 March 29

Week 10 March 22

Week 9 March 15

Week 8 March 8

Week 7 March 1

Week 6 February 15 (thanks to Yanbo Tang)

Week 5 February 8

Week 4 February 1

Week 3 January 25

Week 2 January 18

Week 1 January 11

Course Information Sheet

Syllabus (updated Feb 12 2022)


We will use Piazza for discussion, you will find an entry for Piazza in the course menu. If you click it, you will be asked to sign up. Please see the instructions in the handout, especially the highlighted bits.

Texts

  • Required: All of Statistics by L. Wasserman.
  • Recommended: Statistical Models by A.C. Davison.
  • Interesting: Computer Age Statistical Inference by B. Efron and T. Hastie
  • Helpful: Mathematical Statistics by K. Knight.
  • Helpful: Statistical Inference by G. Casella and R.L. Berger

Computing

I will always refer to the R computing package and I highly recommend the RStudio environment. You will need to install both of these on your laptop. I am using Version 4.1.1 of R, and Version 1.4.1717 of Rstudio. You can download R from https://cran.r-project.org/ and the free Desktop Version of Rstudio from https://rstudio.com/products/rstudio/\#rstudio-desktop.

I also strongly recommend using R Markdown to prepare your homework, but you can use LateX or Word if you must. For questions involving computing you will need to submit working code. This is easy in R Markdown, but R scripts will also be accepted. Neat homework makes it easier on the grader, and a happy grader is a generous grader.