Probability

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A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.
 
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 [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].  
+
The goal is to go through the material covered in the 7 chapters of [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]. We've now (11/23/2010) decided to switch to the Bertsekas and Tsitsiklis book (see [#resources resources]) and to the problems/solutions available on [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041].  
  
 
Proposed meeting format:
 
Proposed meeting format:

Revision as of 23:41, 23 November 2010

Contents

Mailing List

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


Next Meeting

  • Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).
  • When: Tuesday (11/30) 7:30 to 8:45pm
  • Where: Noisebridge (2169 Mission St.) - back corner classroom


List of Problems

List of Problems (on Google Docs) - anyone who has this link can edit/add problems.
These are problems that 1 or more people thought were interesting enough to try solving.


Each problem should include:

  • the problem (or pointer to the problem)
  • names of people who've worked through the problem
  • (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)


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 material covered in the 7 chapters of Fundamentals of Applied Probability Theory. We've now (11/23/2010) decided to switch to the Bertsekas and Tsitsiklis book (see [#resources resources]) and to the problems/solutions available on MIT OCW Course 6.041.

Proposed meeting format:

  • 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

Past Meetings

  • 11/23/2010 - did some problems covering chapter 1 (slides)
  • 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30   (slides)
  • 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30   (slides)

Statistical Computing

R

Teaching Volunteers

  • Kai
  • Mike S
  • Ben W
  • Sara N

Misc

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


Conditional risk.png

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