CS395T/CAM383M Computational Statistics Lecture #2
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#1
01-25-2010, 04:53 PM
 wpress Professor Join Date: Jan 2009 Posts: 222
Lecture #2

Attached are the slides for Lecture #2 as given on 1/25.
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 Lecture2.pdf (824.6 KB, 1128 views)
#2
01-26-2010, 10:50 AM
 jhussmann TA Join Date: Jan 2009 Posts: 76
Dirac delta, gamma function

Dirac delta "function" -

General information can be found at
http://mathworld.wolfram.com/DeltaFunction.html
http://en.wikipedia.org/wiki/Dirac_delta_function

I use quotation marks around "function" because the Dirac delta is not technically a function. Measure theoretic digression - when a random variable has a distribution that doesn't have any mass concentrated at any single points, the distribution is called absolutely continuous, and we can come up with a nicely behaved probability density function for the distribution. If the distribution does place non-zero mass at any point, such a point is called an atom of the distribution, and we cannot technically come up with a p.d.f. for the distribution. Dirac deltas are as close as we can get - objects that are not functions, but behave in the ways we would expect a "real" p.d.f. to when we integrate it. In the context of this course, Dirac deltas are essentially notational shorthand that allow us to pretend that a distribution admits a density when it technically does not.

Gamma function -

A good discussion of the gamma function can be found in chapter 8 of Rudin's "Principles of Mathematical Analysis". If anyone is interested, I could scan the relevant pages for you (or you could get the book, which is a classic).
#3
01-27-2010, 10:28 AM
 johnwoods Member Join Date: Jan 2010 Posts: 30

I would love to see a copy of those pages -- on the gamma function. I've used them before, but they were never actually *explained*.
#4
01-27-2010, 12:14 PM
 jhussmann TA Join Date: Jan 2009 Posts: 76

I will get them scanned ASAP. In the mean time, here is an article cited in the pages on the historical development of the gamma function that is a good read - http://www.jstor.org/stable/2309786.
#5
05-10-2010, 09:06 PM
 johnwoods Member Join Date: Jan 2010 Posts: 30

I wish we had learned about the gamma function in terms of its history rather than its characteristics. I think the former would have helped me remember the latter.

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