Self Test
STA 215 and 244 or equivalent are prerequisitesg for STA 356.
STA 215 teaches graduate level statistical inference
at the level of
Gelman, Carlin, Stern and Rubin, Bayesian Data Analysis.
If you are not sure whether you meet this requirement please try the following
problems from Gelman et al.:
- p59, #7: conjugate normal bayes model.
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- p92, #9: conjugate normal/inverse-Gamma model.
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- p263, #1: linear regression model.
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If you cannot work these problems then you should not register for
STA 356. Of course, referring to the book to look up things
is ok. In particular, you might have to clarify notation etc.
But you should not have to read the book to learn things from
scratch.
Also, you should know basic graduate level probability theory
at the level of STA 213 (which is a pre-requisite for SAT 215) as covered,
for example, in
DeGroot, M.H. (1989), Probability and Statistics,
Addison Wesley.
If you are not sure whether you meet this requirement please try the following
problems from DeGroot:
- p172, #10: basic probability calculus in Bayes theorem.
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- p295, #6: conditional distributions, expected values, variance.
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- p330, #18: conjugate prior/posterior setup.
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- p347, #8: maximum likelihood estimation.
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- p453, #5: basics of hypthesis testing.
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- p626, #2: simple linear regression.
-
If you cannot work these problems then you should not register for
STA 215 or 356. Of course, referring to the book to look up things
is ok. But you should not have to read the book to learn things from
scratch.