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Here you will find lecture notes for this course when available.
180C Lecture Notes:
180C Lecture notes (continuation
of 180B notes through the Poisson point process.)
 180C Lecture notes 1 (continuation
of 180B notes through the Poisson point process.) Clean up a bit from
above.
 180C Lecture Notes 2.
(Expansions and modifications to the previous set of notes. Finishes
our discussion on the Poisson processes.)
See Section 16.7 on p. 149150 for a summary of the main results to know
about Poisson Processes.
 180C Lecture Notes 3. (Through
some of the basic theory for time homogeneous Markov chains.)
 180C Lecture Notes 4. (Now
includes a number of examples.)
 180C Lecture Notes 5. (Notes
through the end of continuous time Markov Chain Theory.)
 180C Lecture Notes 6. (Notes
through renewal processes.)
 180C Lecture Notes 6b.
Same as above except for:
a) the addition of Section 9.7 on the jump hold description of
discrete time chains and
b) the last two pages explaining what you should know for test number 2.
 180BC
Lecture Notes for 2011 This is basically it  a
compilation of the lecture notes for all of 180BC.
(This has been modified and corrected on 6/3/2011).
180B Lecture Notes
 180B Lecture notes on
conditional expectations and best linear predictions
 180B Lecture notes including
Markov chains and the first step analysis (Revised 1/27/2011).
180B Lecture Notes including
Markov chains and the first step analysis and Random Walks (Revised
2/3/2011)
 180B Lecture Notes
including Markov chains and the first step analysis and Random Walks
(Revised 2/7/2011)
(Fixed some typos and added one more example alluded to in class today.)
 180B Lecture Notes including
long run behavior of Markov chains.
 180B Lecture Notes including
long run behavior of Markov chains (expanded)
 180B ecture Notes including
continuous distributions and exponential random variables.
