Probability

Mailing List

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

Next Meeting

• Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.
• When: Tuesday (11/23) 7:30 to 8:45pm
• Where: Noisebridge (2169 Mission St.) - back corner classroom

List of Problems

List of Problems - (Google Docs Powerpoint)
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.
Anyone who has this link can edit/add their own problems.

Each problem should include:

• the problem
• what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)
• names of people who have worked through the problem

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.

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

• MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - the text book(s) we're using are from this course.
• Fundamentals of Applied Probability Theory by Al Drake (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."
• 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.
• Fifty Challenging Problems by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: Josh Myer's blog

Past Meetings

• 11/17/2010 - 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/ )