Probability
view on github- Sample Space
- Permutations and Combinations
- Binomial and Multinomial Distribution
- Bayes Rule
- CDF, PDF, PMF
- Maximum Likelihood Estimation
Sample Space
- random variable: is a function from sample space into the real numbers
- $\sigma-algebra$
- Power set
Permutations and Combinations
- Vandermonde Identity
Binomial and Multinomial Distribution
- connection to hypergeometric distribution: binomial is with replacement, and hypergeometric is without replacement.
Bayes Rule
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Prior
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Posterior
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Conditional Independence
Events $A$ and $B$ are conditional independence give $C$ if
\[P(A\cap{B}\|C)=P(A\|C)P(B\|C)\]
Example: Chess Competition, if you play chess with an opponent. It may happen that the games are conditional independent but not independent.
- Short form
- w/o without
- w/ with
- b/c because
CDF, PDF, PMF
- Cumulative Density Function
- Probability Density Function
- Probability Mass Function