(Axioms of probability (finite spaces, infinite spaces))
Line 2: Line 2:
  
 
=== Axioms of probability (finite spaces, infinite spaces) ===
 
=== Axioms of probability (finite spaces, infinite spaces) ===
 +
 +
<math> P(A) \geq 0 </math> for all events A
  
 
=== Sequential and continuous probability models ===  
 
=== Sequential and continuous probability models ===  

Revision as of 06:02, 18 September 2008

You can get/put ideas for what should be on the cheat sheet here.

Axioms of probability (finite spaces, infinite spaces)

$ P(A) \geq 0 $ for all events A

Sequential and continuous probability models

Properties of probability laws

Conditional probability

Independence

Conditional Independence

Random Variables

Probability mass functions

Common random variables (Bernoulli, binomial, geometric) and how they come about

Functions of random variables

Mean and Variance, and their properties

Joint PMFs of more than one random variable

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010