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 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].  
+
The goal is to go through the stuff 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 were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [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:
+
Approximate 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 - a volunteer presents the material in the chapter
* 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)
+
* 30-45 min - people discuss, solve problems, go over solutions
  
 
=== Resources ===
 
=== Resources ===

Revision as of 23:43, 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 stuff covered in the 7 chapters of Fundamentals of Applied Probability Theory. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see resources) which covers the same topics and to the problems/solutions available online for MIT OCW Course 6.041.

Approximate meeting format:

  • 30-45 min - a volunteer presents the material in the chapter
  • 30-45 min - people discuss, solve problems, go over solutions

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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