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

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