(In Multiple Events)
(In Multiple Events)
Line 13: Line 13:
 
==In Multiple Events==
 
==In Multiple Events==
  
<math> \bigcap_i A_i </math> For i \in S
+
<math> \bigcap_i A_i = \prod_i P(A_i)</math>  
 +
 
 +
For i \in S
  
 
==Conditional Probability==
 
==Conditional Probability==

Revision as of 11:15, 8 September 2008

Independence

In Two Events

$ P(A \bigcap B) = P(A) \times P(B) $

For example, given a coin, are the two outcomes independent?

$ P( \lbrace C_1=H \rbrace \bigcap \lbrace C_2 =H \rbrace ) $

[1]

In Multiple Events

$ \bigcap_i A_i = \prod_i P(A_i) $

For i \in S

Conditional Probability

A & B are conditionally independent given C if the following formula holds true.

$ P(A \bigcap B|C) = P(A|C) \times P(B|C) $

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010