Week 3: OLS in Matrix Form and Probability Theory

Schedule of the Week

Date
Time
Item
Place
Material
Mon, Feb 28 16:00–17:30 Office hours (Oliver) Zoom
Tue, Mar 01 13:30–14:30 Office hours (Thomas) Zoom
15:30–17:00 Office hours (Viktoriia) Zoom
23:59 Homework 1 due Github
Wed, Mar 02 8:30–10:00 Lecture A5,6 B244
10:00 Homework 2 is assigned Github
Thu, Mar 03 10:15–11:45 Lab (Oliver) A5,6 B317
15:30–17:00 Lab (Viktoriia) Zoom

Study Notes

We will wrap-up our discussion of the linear model in matrix form and do some applications with probability distributions to get more familiarity with them. The core reading will be chapter 1 and 3 from King (1989). Furthermore, a nice overview about probability theory and particular probability distributions (which was also covered last semester) is provided by Moore and Segal (2013).

Note for further reading I also provide John Fox’s appendix in its entirety. If you want to read more about linear algebra take a look at his treatment in Appendix B. It includes nice examples and graphs that provide some more intuition. Also check out sections D.1–D.5 if you prefer additional reading on probability distributions.

Readings

King, Gary. 1989. Unifying Political Methodology. Ann Arbor: University of Michigan Press. Chapter 1+3. Required
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 9. Required
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 10. Required
Moore, Will H., and David A. Siegel. 2013. A Mathematics Course for Political and Social Research. Ann Arbor: Princeton University Press. Chapter 11. Required
Fox, John. 2007. Applied Regression, Generalized Linear Models, and Related Methods, 2 Edition, Thousand Oaks, CA: Sage. Appendix B+D Required
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