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| − | In Lecture 6, we ... | + | In Lecture 6, we presented the total probability theorem and Bayes rule. We illustrated both of these using a chess tournament example. We also illustrated both using a previously discussed detection problem. We ended the lecture by defining "independent events". |
==Action items for students (to be completed before next lecture)== | ==Action items for students (to be completed before next lecture)== | ||
Latest revision as of 05:30, 23 January 2013
Lecture 6 Blog, ECE302 Spring 2013, Prof. Boutin
Friday January 18, 2013 (Week 2) - See Course Outline.
(Other blogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
In Lecture 6, we presented the total probability theorem and Bayes rule. We illustrated both of these using a chess tournament example. We also illustrated both using a previously discussed detection problem. We ended the lecture by defining "independent events".
Action items for students (to be completed before next lecture)
- Read sections 1.3, 1.4, and 1.5 in Chapter 1 of "Introduction to Probability," by Dimitri P. Bertsekas and John N. Tsitsiklis. Athena Scientific, Belmont, Massachusetts, 2008, ISBN 978-1-886529-23-6.
- Solve the following problems (these will be part of the second homework, to be handed in later):
- Problems 14, 15, 16, 17, 18, 24, 25 from Chapter 1 of "Introduction to Probability," by Dimitri P. Bertsekas and John N. Tsitsiklis. Athena Scientific, Belmont, Massachusetts, 2008, ISBN 978-1-886529-23-6.
- Draw an event tree to represent the Monty Hall problem:
Previous: Lecture 5
Next: Lecture 7
