Probability: Difference between revisions

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* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake  ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus."  
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake  ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus."  
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]



Revision as of 18:21, 12 November 2010

Mailing List

http://groups.google.com/group/noisebridge-probability

Next Meeting

  • Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30
  • When: Tuesday (11/16) 7:30 to 8:45pm
  • Where: Noisebridge (2169 Mission St.) - back corner classroom

Past Meetings

  • 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30   (slides)

General

A probability study group was proposed on the noisebridge-discuss list and cc'ed to the Machine Learning mailing list.

The goal is to go through the 7 chapters of Fundamentals of Applied Probability Theory at a pace of 1 chapter per week.

Proposed meeting format (to be discussed at 1st meeting):

  • 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)
  • 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)

Resources

Statistical Computing

R

Teaching Volunteers

  • Kai
  • Mike S
  • Ben W


Misc

Conditional Risk (from http://xkcd.com/795/ )


Conditional risk.png