Pattern Recognition - Chapter 1: Basic probability theory
1. Discrete - Continuous random variable
1.1. Discrete random variable
1.2. Continuous random variable
2. Statistical independence
2.1. Marginal distribution
2.2. Statistical independence
2.3. Covariance
(*Source: Rudolf Kruse et al. Texts in Computer Science)
(*Source: https://en.wikipedia.org/wiki/Correlation_and_dependence)
3. Conditional probability
3.1. Conditional probability
3.2. Bayes rule
3.3. Naive Bayes rule
